Project 2: AutoEncoders and GANs¶
This project involves using an AutoEncoder, Variational Autoencoder and a GAN. The data is the Y. Isaienkov LEGO Minigfigures pictures dataset. It has been split into train and test data, the train data having 4 different franchises (Star Wars, Harry Potter, Marvel and Jurassic World) and the test data has pictures from every franchise. In total, there are 494 pictures, 415 in train and 79 in test, so ~16% is test data.
Table of Contents¶
Import ¶
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import seaborn as sns
import os
import random
import torchvision
import cv2
from datasets import load_dataset
import optuna
%matplotlib inline
C:\Users\rvaal\anaconda3\envs\GAN\Lib\site-packages\tqdm\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html from .autonotebook import tqdm as notebook_tqdm
from torchvision import transforms
from torchvision.datasets import ImageFolder
from torch.utils.data import Dataset,DataLoader
from PIL import Image
from helper_train import train_autoencoder_v1,train_vae_v1
from helper_utils import set_deterministic, set_all_seeds
from helper_plotting import plot_training_loss
from helper_plotting import plot_generated_images,plot_latent_space_with_labels
from helper_stuff import *
import torch
import torch.nn as nn
import cv2 as cv
import torch.nn.functional as F
from albumentations.pytorch import ToTensorV2
import torchvision.transforms.functional as TF
import tensorflow as tf
import albumentations as A
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
device
device(type='cuda')
From previous run:
Best hyperparameters: {'latent_dim': 189, 'lr_gen': 1.5079571870971633e-05, 'lr_discr': 8.667730309028803e-05, 'batch_size': 20, 'num_epochs': 7}
From current run:
Best hyperparameters: {'latent_dim': 189, 'lr_gen': 0.001221490964348859, 'lr_discr': 0.0003257527184873621, 'batch_size': 49, 'num_epochs': 6}
# Hyperparameters
RANDOM_SEED = 123
LEARNING_RATE = 0.0005
BATCH_SIZE = 30
NUM_EPOCHS = 30
GAN_EPOCHS = 50
GENERATOR_LEARNING_RATE = 0.001221490964348859
DISCRIMINATOR_LEARNING_RATE = 0.0003257527184873621
IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_CHANNELS = 224, 224, 3
VALID_SIZE = 0.3
IMAGE_SIZE = (512,512)
TRAIN_BATCH_SIZE = 16
VALID_BATCH_SIZE = 1
TEST_BATCH_SIZE = 1
set_deterministic
set_all_seeds(RANDOM_SEED)
Dataset ¶
import kagglehub
# Importing the dataset
# Download latest version
path = kagglehub.dataset_download("ihelon/lego-minifigures-classification")
print("Path to dataset files:", path)
Path to dataset files: C:\Users\rvaal\.cache\kagglehub\datasets\ihelon\lego-minifigures-classification\versions\30
BASE_DIR = r"C:\Users\rvaal\.cache\kagglehub\datasets\ihelon\lego-minifigures-classification\versions\30"
PATH_INDEX = os.path.join(BASE_DIR, "index.csv")
PATH_TEST = os.path.join(BASE_DIR, "test.csv")
PATH_METADATA = os.path.join(BASE_DIR, "metadata.csv")
df_train = pd.read_csv(PATH_INDEX)
df_train = df_train.reset_index()
df_train
| index | path | class_id | |
|---|---|---|---|
| 0 | 0 | marvel/0001/001.jpg | 1 |
| 1 | 1 | marvel/0001/002.jpg | 1 |
| 2 | 2 | marvel/0001/003.jpg | 1 |
| 3 | 3 | marvel/0001/004.jpg | 1 |
| 4 | 4 | marvel/0001/005.jpg | 1 |
| ... | ... | ... | ... |
| 366 | 366 | star-wars/0017/006.jpg | 38 |
| 367 | 367 | star-wars/0017/007.jpg | 38 |
| 368 | 368 | star-wars/0017/008.jpg | 38 |
| 369 | 369 | star-wars/0017/009.jpg | 38 |
| 370 | 370 | star-wars/0017/010.jpg | 38 |
371 rows × 3 columns
df_test = pd.read_csv(PATH_INDEX)
df_train["path"]= df_train["path"].str.replace("/","\\") # replacing forward slash with backslash, so that it is possible to load the images
from PIL import Image
example = Image.open(BASE_DIR + "\\"+df_train["path"][0]) # Path to the first image, in this case the first Marvel image
example
Dataset Generation ¶
Because the dataset only includes 500 images, we have to generate new images so that the autoencoder has something to train on.
# Read information about dataset
from sklearn import model_selection as sk_model_selection
tmp_train, tmp_valid = sk_model_selection.train_test_split(
df_train,
test_size=VALID_SIZE,
random_state=RANDOM_SEED,
stratify=df_train['class_id'],
)
def get_paths_and_targets(tmp_df):
# Get file paths
paths = tmp_df["path"].values
# Create full paths (base dir + concrete file name)
paths = list(map(lambda x: os.path.join(BASE_DIR, x), paths))
# Get labels
targets = tmp_df["class_id"].values
return paths, targets
# Get train file paths and targets
train_paths, train_targets = get_paths_and_targets(tmp_train)
# Get valid file paths and targets
valid_paths, valid_targets = get_paths_and_targets(tmp_valid)
df_test = pd.read_csv(PATH_TEST)
# Get test file paths and targets
test_paths, test_targets = get_paths_and_targets(df_test)
def get_train_transforms():
return A.Compose(
[
A.Affine(
p=1,
translate_percent=(-0.2, 0.2),
rotate=(-20, 20),
scale = (0.9,1),
border_mode=4
),
A.CoarseDropout(
p=0.8,
num_holes_range = (1,50),
hole_height_range=(1, 10),
hole_width_range=(1, 10),
),
A.CoarseDropout(
p=0.8,
num_holes_range = (1,30),
hole_height_range=(10, 10),
hole_width_range=(10, 10),
fill=255,
),
A.HorizontalFlip(p=0.6),
A.Illumination(
mode='linear',
intensity_range=(0.01, 0.2),
effect_type='brighten',
angle_range=(0, 10)
),
A.Blur(p=0.6),
A.RandomBrightnessContrast(p=1,
brightness_limit=0.1,
contrast_limit=0.1,
),
A.RandomGamma(gamma_limit=(95, 105),p=0.6),
A.ToFloat(),
A.LongestMaxSize(IMAGE_HEIGHT),
ToTensorV2(transpose_mask=False, p=1.0),
],
p=1.0
)
def get_rest_transforms():
return A.Compose(
[
A.LongestMaxSize(IMAGE_HEIGHT),
ToTensorV2(transpose_mask=False, p=1.0),
],
p=1.0
)
train_generator = DataGenerator(
train_paths,
train_targets,
batch_size=TRAIN_BATCH_SIZE,
image_size=IMAGE_SIZE,
shuffle=True,
transforms=get_train_transforms(),
)
# Initialize the valid data generator
valid_generator = DataGenerator(
valid_paths,
valid_targets,
image_size=IMAGE_SIZE,
batch_size=VALID_BATCH_SIZE,
shuffle=False,
transforms=get_rest_transforms(),
)
# Initialize the test data generator
test_generator = DataGenerator(
test_paths,
test_targets,
image_size=IMAGE_SIZE,
batch_size=TEST_BATCH_SIZE,
shuffle=False,
transforms=get_rest_transforms(),
)
# Let's visualize some batches of the train data
plt.figure(figsize=(16, 16))
ind = 0
for i_batch in range(len(train_generator)):
images, labels = train_generator[i_batch]
for i in range(len(images)):
plt.subplot(5, 5, ind + 1)
ind += 1
plt.imshow(TF.to_pil_image(images[i]))
plt.title(f"class: {labels[i]}")
plt.axis("off")
if ind >= 25:
break
if ind >= 25:
break
plt.show()
plt.figure(figsize=(16, 16))
ind = 0
for i_batch in range(len(valid_generator)):
images, labels = valid_generator[i_batch]
for i in range(len(images)):
plt.subplot(5, 5, ind + 1)
ind += 1
plt.imshow(TF.to_pil_image(images[i]))
plt.title(f"class: {labels[i]}")
plt.axis("off")
if ind >= 25:
break
if ind >= 25:
break
plt.show()
train_loader = DataLoader(train_generator, batch_size=BATCH_SIZE, shuffle=True)
val_loader = DataLoader(valid_generator, batch_size=BATCH_SIZE)
test_loader = DataLoader(test_generator, batch_size=BATCH_SIZE)
# Checking the dataset
print('Training Set:\n')
for images, labels in train_loader:
print('Image batch dimensions:', images.permute(0,1,3,4,2).size())
print('Image label dimensions:', labels.size())
print(labels[:10])
break
print('\nValidating Set:')
for images, labels in val_loader:
print('Image batch dimensions:', images.size())
print('Image label dimensions:', labels.size())
print(labels[:10])
break
# Checking the dataset
print('\nTesting Set:')
for images, labels in test_loader:
print('Image batch dimensions:', images.size())
print('Image label dimensions:', labels.size())
print(labels[:10])
break
Training Set:
Image batch dimensions: torch.Size([16, 16, 224, 224, 3])
Image label dimensions: torch.Size([16, 16])
tensor([[ 5, 4, 37, 16, 32, 26, 20, 34, 19, 21, 6, 1, 1, 3, 9, 37],
[19, 35, 32, 27, 14, 15, 9, 13, 27, 28, 14, 3, 8, 3, 36, 2],
[ 0, 5, 30, 18, 5, 13, 17, 24, 5, 11, 8, 19, 10, 6, 31, 16],
[17, 21, 0, 25, 7, 14, 19, 17, 37, 4, 27, 22, 6, 17, 32, 27],
[13, 34, 23, 7, 9, 35, 32, 15, 36, 28, 17, 17, 16, 18, 36, 34],
[36, 7, 25, 18, 2, 29, 29, 17, 34, 8, 0, 8, 6, 36, 6, 29],
[16, 20, 0, 10, 25, 12, 11, 34, 6, 20, 28, 22, 26, 34, 5, 1],
[30, 22, 35, 2, 26, 33, 23, 3, 21, 8, 0, 4, 18, 10, 25, 2],
[25, 32, 23, 20, 33, 29, 28, 28, 12, 16, 33, 25, 5, 12, 7, 26],
[26, 20, 30, 22, 11, 23, 27, 31, 33, 28, 30, 26, 30, 6, 18, 20]])
Validating Set:
Image batch dimensions: torch.Size([20, 1, 3, 224, 224])
Image label dimensions: torch.Size([20, 1])
tensor([[14],
[31],
[17],
[19],
[32],
[20],
[ 9],
[32],
[29],
[ 2]])
Testing Set:
Image batch dimensions: torch.Size([20, 1, 3, 224, 224])
Image label dimensions: torch.Size([20, 1])
tensor([[31],
[31],
[31],
[31],
[ 0],
[ 2],
[ 1],
[ 3],
[ 0],
[ 2]])
The Dataset has the size (Batch size, data generator batch size, alpha channel, height, width). The models expect the size (batch size, alpha channel, height, width) so the dataset has to be permuted, flipping the first two dimensions.
Autoencoder ¶
##########################
### MODEL
##########################
class Reshape(nn.Module):
def __init__(self, *args):
super().__init__()
self.shape = args
def forward(self, x):
return x.view(self.shape)
class Trim(nn.Module):
def __init__(self, *args):
super().__init__()
def forward(self, x):
return x[:, :, :224, :224]
class AutoEncoder(nn.Module):
def __init__(self):
super().__init__()
# Encoder
self.encoder = nn.Sequential(
nn.Conv2d(3, 64, stride=1, kernel_size=3, padding=1),
nn.BatchNorm2d(64),
nn.LeakyReLU(0.01),
nn.Conv2d(64, 128, stride=2, kernel_size=3, padding=1),
nn.BatchNorm2d(128),
nn.LeakyReLU(0.01),
nn.Conv2d(128, 128, stride=2, kernel_size=3, padding=1),
nn.BatchNorm2d(128),
nn.LeakyReLU(0.01),
nn.Conv2d(128, 128, stride=1, kernel_size=3, padding=1),
nn.Conv2d(128, 256, stride=2, kernel_size=3, padding=1),
nn.BatchNorm2d(256),
nn.LeakyReLU(0.01),
nn.Flatten(),
nn.Linear(256 * 28 * 28, 4)
)
# Decoder
self.decoder = nn.Sequential(
nn.Linear(4, 256 * 28 * 28),
nn.LeakyReLU(0.01),
Reshape(-1, 256, 28, 28),
nn.ConvTranspose2d(256, 128, stride=2, kernel_size=4, padding=1),
nn.BatchNorm2d(128),
nn.LeakyReLU(0.01),
nn.ConvTranspose2d(128, 64, stride=2, kernel_size=3, padding=1),
nn.BatchNorm2d(64),
nn.LeakyReLU(0.01),
nn.ConvTranspose2d(64, 32, stride=2, kernel_size=3, padding=0),
nn.BatchNorm2d(32),
nn.LeakyReLU(0.01),
nn.ConvTranspose2d(32, 3, stride=1, kernel_size=3, padding=0),
Trim(),
nn.Sigmoid()
)
def forward(self, x):
x = self.encoder(x)
x = self.decoder(x)
return x
model = AutoEncoder()
model.to(device)
optimizer = torch.optim.Adam(model.parameters(), lr=LEARNING_RATE)
log_dict = train_autoencoder_v1(num_epochs=NUM_EPOCHS, model=model,
optimizer=optimizer, device=device,
train_loader=train_loader,
skip_epoch_stats=True,
logging_interval=250)
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Loss: 0.0468 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0633 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0498 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0616 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0570 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0548 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0384 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0467 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0475 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0396 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0459 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0392 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0502 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0357 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0330 Time elapsed: 0.89 min Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0553 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0425 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0580 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0510 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0575 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0586 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Loss: 0.0354 Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0344 Time elapsed: 1.13 min Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0526 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0434 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0511 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0459 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0534 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0611 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0562 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0441 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0511 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0516 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0382 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0457 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0399 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0424 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0366 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0314 Time elapsed: 1.21 min Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0480 Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0409 Epoch: 016/030 | Batch 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0000/0001 | Loss: 0.0330 Time elapsed: 1.50 min Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0452 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0403 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0505 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0433 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0466 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0530 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0452 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0388 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0431 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0487 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0337 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0401 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0358 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0375 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0352 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0260 Time elapsed: 1.58 min Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0462 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0439 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0482 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0420 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0488 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0560 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0473 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0368 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0421 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0437 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0343 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0446 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0363 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0358 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0330 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0298 Time elapsed: 1.65 min Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0435 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0405 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0424 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0417 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0457 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0537 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0523 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0360 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0423 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0368 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0350 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0355 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0381 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0421 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0315 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0293 Time elapsed: 1.72 min Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0453 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0360 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0462 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0450 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0534 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0462 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0451 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0375 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0415 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0445 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0321 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0401 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0346 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0373 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0343 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0294 Time elapsed: 1.80 min Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0484 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0380 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0512 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0415 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0496 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0524 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0487 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0363 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0426 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0439 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0341 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0388 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0369 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0388 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0383 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0271 Time elapsed: 1.87 min Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0457 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0360 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0452 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0429 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0440 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0548 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0449 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0357 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0408 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0410 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0302 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0380 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0354 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0376 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0364 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0298 Time elapsed: 1.95 min Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0431 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0390 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0505 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0439 Epoch: 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0.0350 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0389 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0309 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0271 Time elapsed: 2.18 min Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0437 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0359 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0500 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0403 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0484 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0530 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0456 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0402 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0431 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0430 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0328 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0381 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0350 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0362 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0318 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0252 Time elapsed: 2.25 min Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0445 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0355 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0437 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0389 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0443 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0551 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0446 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0365 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0390 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0453 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0310 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0407 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0338 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0370 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0321 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0299 Time elapsed: 2.32 min Total Training Time: 2.32 min
plot_training_loss(log_dict['train_loss_per_batch'], NUM_EPOCHS)
plt.show()
plot_generated_images(data_loader=train_loader, model=model, device=device)
plt.show()
plot_latent_space_with_labels(
num_classes=39,
data_loader=train_loader,
model=model,
device=device)
plt.show()
The colors are set based on the franchise, Marvel is red, Star Wars is blue, Harry Potter is yellow and Jurassic World is green.
Variational Autoencoder ¶
##########################
### MODEL
##########################
class Reshape(nn.Module):
def __init__(self, *args):
super().__init__()
self.shape = args
def forward(self, x):
return x.view(self.shape)
class Trim(nn.Module):
def __init__(self, *args):
super().__init__()
def forward(self, x):
return x[:, :, :224, :224]
class VAE(nn.Module):
def __init__(self):
super().__init__()
self.encoder = nn.Sequential(
nn.Conv2d(3, 64, kernel_size=3, stride=1, padding=1), # Output: (16, 64, 224, 224)
nn.BatchNorm2d(64),
nn.LeakyReLU(0.01),
nn.Conv2d(64, 128, kernel_size=3, stride=2, padding=1), # Output: (16, 128, 112, 112)
nn.BatchNorm2d(128),
nn.LeakyReLU(0.01),
nn.Conv2d(128, 128, kernel_size=3, stride=2, padding=1), # Output: (16, 128, 56, 56)
nn.BatchNorm2d(128),
nn.LeakyReLU(0.01),
nn.Conv2d(128, 256, kernel_size=3, stride=2, padding=1), # Output: (16, 256, 28, 28)
nn.BatchNorm2d(256),
nn.LeakyReLU(0.01),
nn.Conv2d(256, 256, kernel_size=3, stride=2, padding=1), # Output: (16, 256, 14, 14)
nn.BatchNorm2d(256),
nn.LeakyReLU(0.01),
nn.Conv2d(256, 256, kernel_size=3, stride=2, padding=1), # Output: (16, 256, 7, 7)
nn.Flatten(), # Output: (16, 256 * 7 * 7)
)
self.z_mean = nn.Linear(12544, 4)
self.z_log_var = nn.Linear(12544, 4)
self.decoder = nn.Sequential(
nn.Linear(4,12544),
nn.LeakyReLU(0.01),
Reshape(-1, 256, 7, 7), # Reshape to match the encoder's downsampling
nn.ConvTranspose2d(256, 128, stride=2, kernel_size=4, padding=1),
nn.BatchNorm2d(128),
nn.LeakyReLU(0.01),
nn.ConvTranspose2d(128, 64, stride=2, kernel_size=4, padding=1),
nn.BatchNorm2d(64),
nn.LeakyReLU(0.01),
nn.ConvTranspose2d(64, 32, stride=2, kernel_size=4, padding=1),
nn.BatchNorm2d(32),
nn.LeakyReLU(0.01),
nn.ConvTranspose2d(32, 16, stride=2, kernel_size=4, padding=1),
nn.BatchNorm2d(16),
nn.LeakyReLU(0.01),
nn.ConvTranspose2d(16, 3, stride=2, kernel_size=4, padding=1),
Trim(),
nn.Sigmoid()
)
def encoding_fn(self, x):
x = self.encoder(x)
z_mean, z_log_var = self.z_mean(x), self.z_log_var(x)
encoded = self.reparameterize(z_mean, z_log_var)
return encoded
def reparameterize(self, z_mu, z_log_var):
eps = torch.randn(z_mu.size(0), z_mu.size(1)).to(z_mu.get_device())
z = z_mu + eps * torch.exp(z_log_var/2.)
return z
def forward(self, x):
encoded = self.encoding_fn(x)
x = self.encoder(x)
decoded = self.decoder(encoded)
z_mean, z_log_var = self.z_mean(x), self.z_log_var(x)
return encoded, z_mean, z_log_var, decoded
model2 = VAE()
model2.to(device)
optimizer = torch.optim.Adam(model2.parameters(), lr=LEARNING_RATE)
log_dict = train_vae_v1(num_epochs=NUM_EPOCHS, model=model2,
optimizer=optimizer, device=device,
train_loader=train_loader,
skip_epoch_stats=True,
logging_interval=50)
Epoch: 001/030 | Batch 0000/0001 | Loss: 15873.3896 Epoch: 001/030 | Batch 0000/0001 | Loss: 13367.5908 Epoch: 001/030 | Batch 0000/0001 | Loss: 15890.2031 Epoch: 001/030 | Batch 0000/0001 | Loss: 13456.4033 Epoch: 001/030 | Batch 0000/0001 | Loss: 14167.9824 Epoch: 001/030 | Batch 0000/0001 | Loss: 13961.0850 Epoch: 001/030 | Batch 0000/0001 | Loss: 14397.2227 Epoch: 001/030 | Batch 0000/0001 | Loss: 12603.9082 Epoch: 001/030 | Batch 0000/0001 | Loss: 13930.2520 Epoch: 001/030 | Batch 0000/0001 | Loss: 15960.9150 Epoch: 001/030 | Batch 0000/0001 | Loss: 13831.2803 Epoch: 001/030 | Batch 0000/0001 | Loss: 11013.8291 Epoch: 001/030 | Batch 0000/0001 | Loss: 10021.5107 Epoch: 001/030 | Batch 0000/0001 | Loss: 14108.3447 Epoch: 001/030 | Batch 0000/0001 | Loss: 11321.2100 Epoch: 001/030 | Batch 0000/0001 | Loss: 12399.4688 Time elapsed: 0.09 min Epoch: 002/030 | Batch 0000/0001 | Loss: 12173.8174 Epoch: 002/030 | Batch 0000/0001 | Loss: 13382.5049 Epoch: 002/030 | Batch 0000/0001 | Loss: 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| Loss: 10938.7285 Epoch: 003/030 | Batch 0000/0001 | Loss: 11073.2178 Epoch: 003/030 | Batch 0000/0001 | Loss: 9248.5537 Epoch: 003/030 | Batch 0000/0001 | Loss: 10430.0215 Epoch: 003/030 | Batch 0000/0001 | Loss: 10402.4434 Epoch: 003/030 | Batch 0000/0001 | Loss: 9835.5361 Epoch: 003/030 | Batch 0000/0001 | Loss: 8520.4590 Epoch: 003/030 | Batch 0000/0001 | Loss: 8809.0166 Epoch: 003/030 | Batch 0000/0001 | Loss: 9676.1318 Epoch: 003/030 | Batch 0000/0001 | Loss: 7470.9355 Epoch: 003/030 | Batch 0000/0001 | Loss: 9001.0654 Time elapsed: 0.27 min Epoch: 004/030 | Batch 0000/0001 | Loss: 9872.9463 Epoch: 004/030 | Batch 0000/0001 | Loss: 10331.6279 Epoch: 004/030 | Batch 0000/0001 | Loss: 12176.4922 Epoch: 004/030 | Batch 0000/0001 | Loss: 9278.3389 Epoch: 004/030 | Batch 0000/0001 | Loss: 11457.8857 Epoch: 004/030 | Batch 0000/0001 | Loss: 9496.2275 Epoch: 004/030 | Batch 0000/0001 | Loss: 10303.3730 Epoch: 004/030 | Batch 0000/0001 | Loss: 8314.9492 Epoch: 004/030 | Batch 0000/0001 | Loss: 8752.1836 Epoch: 004/030 | Batch 0000/0001 | Loss: 7893.2959 Epoch: 004/030 | Batch 0000/0001 | Loss: 8824.1270 Epoch: 004/030 | Batch 0000/0001 | Loss: 8297.4697 Epoch: 004/030 | Batch 0000/0001 | Loss: 7150.4312 Epoch: 004/030 | Batch 0000/0001 | Loss: 9156.3418 Epoch: 004/030 | Batch 0000/0001 | Loss: 6886.3647 Epoch: 004/030 | Batch 0000/0001 | Loss: 7553.2085 Time elapsed: 0.35 min Epoch: 005/030 | Batch 0000/0001 | Loss: 8472.0762 Epoch: 005/030 | Batch 0000/0001 | Loss: 8142.4004 Epoch: 005/030 | Batch 0000/0001 | Loss: 10773.3838 Epoch: 005/030 | Batch 0000/0001 | Loss: 8482.7988 Epoch: 005/030 | Batch 0000/0001 | Loss: 9458.2773 Epoch: 005/030 | Batch 0000/0001 | Loss: 9899.6250 Epoch: 005/030 | Batch 0000/0001 | Loss: 8933.8623 Epoch: 005/030 | Batch 0000/0001 | Loss: 7501.6973 Epoch: 005/030 | Batch 0000/0001 | Loss: 7660.5430 Epoch: 005/030 | Batch 0000/0001 | Loss: 7928.8403 Epoch: 005/030 | Batch 0000/0001 | Loss: 7839.6260 Epoch: 005/030 | Batch 0000/0001 | Loss: 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0000/0001 | Loss: 6636.5176 Epoch: 008/030 | Batch 0000/0001 | Loss: 8143.0498 Epoch: 008/030 | Batch 0000/0001 | Loss: 7310.4634 Epoch: 008/030 | Batch 0000/0001 | Loss: 7632.1338 Epoch: 008/030 | Batch 0000/0001 | Loss: 8659.4502 Epoch: 008/030 | Batch 0000/0001 | Loss: 7828.5093 Epoch: 008/030 | Batch 0000/0001 | Loss: 6043.9097 Epoch: 008/030 | Batch 0000/0001 | Loss: 6291.3042 Epoch: 008/030 | Batch 0000/0001 | Loss: 6788.0112 Epoch: 008/030 | Batch 0000/0001 | Loss: 6194.4604 Epoch: 008/030 | Batch 0000/0001 | Loss: 6170.4116 Epoch: 008/030 | Batch 0000/0001 | Loss: 5444.4189 Epoch: 008/030 | Batch 0000/0001 | Loss: 6514.9521 Epoch: 008/030 | Batch 0000/0001 | Loss: 4786.6870 Epoch: 008/030 | Batch 0000/0001 | Loss: 4410.8003 Time elapsed: 0.69 min Epoch: 009/030 | Batch 0000/0001 | Loss: 7365.9497 Epoch: 009/030 | Batch 0000/0001 | Loss: 5686.9497 Epoch: 009/030 | Batch 0000/0001 | Loss: 7513.2271 Epoch: 009/030 | Batch 0000/0001 | Loss: 7024.6934 Epoch: 009/030 | Batch 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| Batch 0000/0001 | Loss: 6626.0542 Epoch: 028/030 | Batch 0000/0001 | Loss: 8192.1230 Epoch: 028/030 | Batch 0000/0001 | Loss: 7548.6729 Epoch: 028/030 | Batch 0000/0001 | Loss: 5347.8955 Epoch: 028/030 | Batch 0000/0001 | Loss: 5793.5654 Epoch: 028/030 | Batch 0000/0001 | Loss: 6320.2515 Epoch: 028/030 | Batch 0000/0001 | Loss: 5244.8843 Epoch: 028/030 | Batch 0000/0001 | Loss: 5847.5938 Epoch: 028/030 | Batch 0000/0001 | Loss: 4934.2964 Epoch: 028/030 | Batch 0000/0001 | Loss: 5674.9570 Epoch: 028/030 | Batch 0000/0001 | Loss: 4613.6602 Epoch: 028/030 | Batch 0000/0001 | Loss: 4099.9292 Time elapsed: 2.39 min Epoch: 029/030 | Batch 0000/0001 | Loss: 6320.8945 Epoch: 029/030 | Batch 0000/0001 | Loss: 5268.7480 Epoch: 029/030 | Batch 0000/0001 | Loss: 7434.7529 Epoch: 029/030 | Batch 0000/0001 | Loss: 5792.7471 Epoch: 029/030 | Batch 0000/0001 | Loss: 6789.1924 Epoch: 029/030 | Batch 0000/0001 | Loss: 7650.0000 Epoch: 029/030 | Batch 0000/0001 | Loss: 7447.9956 Epoch: 029/030 | Batch 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0000/0001 | Loss: 5027.1372 Epoch: 030/030 | Batch 0000/0001 | Loss: 5967.1094 Epoch: 030/030 | Batch 0000/0001 | Loss: 4943.2109 Epoch: 030/030 | Batch 0000/0001 | Loss: 5399.6992 Epoch: 030/030 | Batch 0000/0001 | Loss: 4483.4565 Epoch: 030/030 | Batch 0000/0001 | Loss: 4061.9590 Time elapsed: 2.55 min Total Training Time: 2.55 min
plot_training_loss(log_dict['train_reconstruction_loss_per_batch'], NUM_EPOCHS, custom_label=" (reconstruction)")
plot_training_loss(log_dict['train_kl_loss_per_batch'], NUM_EPOCHS, custom_label=" (KL)")
plot_training_loss(log_dict['train_combined_loss_per_batch'], NUM_EPOCHS, custom_label=" (combined)")
plt.show()
plot_generated_images(data_loader=train_loader, model=model2, device=device, modeltype='VAE')
plt.show()
plot_latent_space_with_labels(
num_classes=38,
data_loader=train_loader,
model = model2,
device=device)
plt.show()
GAN ¶
##########################
### MODEL
##########################
import torch
import torch.nn as nn
class GAN(nn.Module):
def __init__(self, latent_dim=189, image_height=224, image_width=224, color_channels=3):
super().__init__()
self.image_height = image_height
self.image_width = image_width
self.color_channels = color_channels
self.latent_dim = latent_dim
# Generator
self.generator = nn.Sequential(
nn.Linear(self.latent_dim, 256), # First layer expects (batch_size, latent_dim)
nn.LeakyReLU(negative_slope=0.2, inplace=True),
nn.Linear(256, 512),
nn.LeakyReLU(negative_slope=0.2, inplace=True),
nn.Linear(512, self.color_channels * self.image_height * self.image_width),
nn.Tanh()
)
# Discriminator
self.discriminator = nn.Sequential(
nn.Flatten(),
nn.Linear(self.color_channels * self.image_height * self.image_width, 512),
nn.LeakyReLU(negative_slope=0.2, inplace=True),
nn.Linear(512, 256),
nn.LeakyReLU(negative_slope=0.2, inplace=True),
nn.Linear(256, 1)
)
def generator_forward(self, z):
# Ensure z has the correct latent dimension (batch_size, latent_dim)
if z.dim() == 4: # (batch_size, latent_dim, 1, 1)
z = z.view(z.size(0), -1) # Flatten it to (batch_size, latent_dim)
img = self.generator(z)
# Reshape the output to (batch_size, color_channels, image_height, image_width)
img = img.view(z.size(0), self.color_channels, self.image_height, self.image_width)
return img
def discriminator_forward(self, img):
logits = self.discriminator(img)
return logits
modelGAN = GAN()
modelGAN.to(device)
optim_gen = torch.optim.Adam(modelGAN.generator.parameters(),
betas=(0.5, 0.999),
lr=GENERATOR_LEARNING_RATE)
optim_discr = torch.optim.Adam(modelGAN.discriminator.parameters(),
betas=(0.5, 0.999),
lr=DISCRIMINATOR_LEARNING_RATE)
import optuna
import torch.optim as optim
# Define the objective function for Optuna
def objective(trial):
latent_dim = trial.suggest_int('latent_dim', 100, 200)
lr_gen = trial.suggest_loguniform('lr_gen', 1e-5, 1e-2)
lr_discr = trial.suggest_loguniform('lr_discr', 1e-5, 1e-2)
batch_size = trial.suggest_int('batch_size', 16, 64)
num_epochs = trial.suggest_int('num_epochs', 1, 20)
# Initialize the model, optimizers
model = GAN(latent_dim=latent_dim).to(device)
optimizer_gen = optim.Adam(model.generator.parameters(), lr=lr_gen, betas=(0.5, 0.999))
optimizer_discr = optim.Adam(model.discriminator.parameters(), lr=lr_discr, betas=(0.5, 0.999))
# Training loop
log_dict = train_gan_v1(
num_epochs=num_epochs,
model=model,
optimizer_gen=optimizer_gen,
optimizer_discr=optimizer_discr,
latent_dim=latent_dim,
device=device,
train_loader=train_loader,
logging_interval=100
)
# Return the discriminator loss as the objective for Optuna
return log_dict['train_discriminator_loss_per_batch'][-1]
# Create a study and optimize
study = optuna.create_study(direction='minimize') # Minimize the discriminator loss
study.optimize(objective, n_trials=10) # Number of trials to run
# Print the best hyperparameters
print(f"Best hyperparameters: {study.best_params}")
[I 2025-01-13 12:29:35,929] A new study created in memory with name: no-name-84cb5e75-cd57-42bc-95ef-770f8ebe8070
C:\Users\rvaal\AppData\Local\Temp\ipykernel_22704\3781775788.py:7: FutureWarning: suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use suggest_float(..., log=True) instead.
lr_gen = trial.suggest_loguniform('lr_gen', 1e-5, 1e-2)
C:\Users\rvaal\AppData\Local\Temp\ipykernel_22704\3781775788.py:8: FutureWarning: suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use suggest_float(..., log=True) instead.
lr_discr = trial.suggest_loguniform('lr_discr', 1e-5, 1e-2)
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.0090 | Dis Loss (Avg): 0.0069 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.0260 | Dis Loss (Avg): 0.0153 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.0567 | Dis Loss (Avg): 0.0163 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.1001 | Dis Loss (Avg): 0.0164 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.1510 | Dis Loss (Avg): 0.0163 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.2041 | Dis Loss (Avg): 0.0162 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.2558 | Dis Loss (Avg): 0.0161 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.3039 | Dis Loss (Avg): 0.0160 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.3484 | Dis Loss (Avg): 0.0160 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.3947 | Dis Loss (Avg): 0.0160 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.4487 | Dis Loss (Avg): 0.0161 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.5062 | Dis Loss (Avg): 0.0160 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.5635 | Dis Loss (Avg): 0.0159 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.6268 | Dis Loss (Avg): 0.0160 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.6924 | Dis Loss (Avg): 0.0159 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.7623 | Dis Loss (Avg): 0.0159 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.08 min Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.7774 | Dis Loss (Avg): 0.0225 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.7842 | Dis Loss (Avg): 0.0608 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.8355 | Dis Loss (Avg): 0.0709 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.8693 | Dis Loss (Avg): 0.0866 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.8944 | Dis Loss (Avg): 0.0863 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.9231 | Dis Loss (Avg): 0.0865 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.9568 | Dis Loss (Avg): 0.0862 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.9792 | Dis Loss (Avg): 0.0937 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.0083 | Dis Loss (Avg): 0.0940 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.0431 | Dis Loss (Avg): 0.0937 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.0442 | Dis Loss (Avg): 0.1075 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.0640 | Dis Loss (Avg): 0.1172 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.0969 | Dis Loss (Avg): 0.1170 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.1126 | Dis Loss (Avg): 0.1375 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.1289 | Dis Loss (Avg): 0.1378 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.1568 | Dis Loss (Avg): 0.1384 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.16 min Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.1944 | Dis Loss (Avg): 0.1386 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2118 | Dis Loss (Avg): 0.1540 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2100 | Dis Loss (Avg): 0.1638 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2031 | Dis Loss (Avg): 0.1897 | Real Acc: 93.75% | Fake Acc: 6.25% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2062 | Dis Loss (Avg): 0.2032 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2253 | Dis Loss (Avg): 0.2078 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2588 | Dis Loss (Avg): 0.2062 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2883 | Dis Loss (Avg): 0.2045 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3251 | Dis Loss (Avg): 0.2053 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3345 | Dis Loss (Avg): 0.2205 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3260 | Dis Loss (Avg): 0.2394 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3171 | Dis Loss (Avg): 0.2563 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3153 | Dis Loss (Avg): 0.2642 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3124 | Dis Loss (Avg): 0.2738 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3158 | Dis Loss (Avg): 0.2736 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3171 | Dis Loss (Avg): 0.2796 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.23 min Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3166 | Dis Loss (Avg): 0.2798 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3247 | Dis Loss (Avg): 0.2811 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3403 | Dis Loss (Avg): 0.2802 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3398 | Dis Loss (Avg): 0.2801 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3279 | Dis Loss (Avg): 0.2989 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3268 | Dis Loss (Avg): 0.3142 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3563 | Dis Loss (Avg): 0.3159 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3961 | Dis Loss (Avg): 0.3129 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4369 | Dis Loss (Avg): 0.3099 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4685 | Dis Loss (Avg): 0.3069 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4739 | Dis Loss (Avg): 0.3248 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4649 | Dis Loss (Avg): 0.3240 | Real Acc: 93.75% | Fake Acc: 12.50% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4620 | Dis Loss (Avg): 0.3304 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4558 | Dis Loss (Avg): 0.3426 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4571 | Dis Loss (Avg): 0.3448 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4676 | Dis Loss (Avg): 0.3431 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.30 min Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4777 | Dis Loss (Avg): 0.3415 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4881 | Dis Loss (Avg): 0.3388 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4919 | Dis Loss (Avg): 0.3467 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4901 | Dis Loss (Avg): 0.3454 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4932 | Dis Loss (Avg): 0.3447 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4951 | Dis Loss (Avg): 0.3435 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.5031 | Dis Loss (Avg): 0.3432 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4993 | Dis Loss (Avg): 0.3472 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4937 | Dis Loss (Avg): 0.3548 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4843 | Dis Loss (Avg): 0.3714 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4787 | Dis Loss (Avg): 0.3826 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4713 | Dis Loss (Avg): 0.3872 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4767 | Dis Loss (Avg): 0.3895 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4789 | Dis Loss (Avg): 0.3942 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4962 | Dis Loss (Avg): 0.3934 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.5138 | Dis Loss (Avg): 0.3922 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.37 min Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5101 | Dis Loss (Avg): 0.4265 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5157 | Dis Loss (Avg): 0.4260 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5112 | Dis Loss (Avg): 0.4339 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5164 | Dis Loss (Avg): 0.4337 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5200 | Dis Loss (Avg): 0.4410 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5346 | Dis Loss (Avg): 0.4387 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5545 | Dis Loss (Avg): 0.4352 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5551 | Dis Loss (Avg): 0.4484 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5410 | Dis Loss (Avg): 0.4553 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5283 | Dis Loss (Avg): 0.4648 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5222 | Dis Loss (Avg): 0.4696 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5312 | Dis Loss (Avg): 0.4677 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5395 | Dis Loss (Avg): 0.4769 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5475 | Dis Loss (Avg): 0.4729 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5527 | Dis Loss (Avg): 0.4692 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5560 | Dis Loss (Avg): 0.4661 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.44 min Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5488 | Dis Loss (Avg): 0.4797 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5429 | Dis Loss (Avg): 0.4793 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5402 | Dis Loss (Avg): 0.4784 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5378 | Dis Loss (Avg): 0.4765 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5377 | Dis Loss (Avg): 0.4741 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5321 | Dis Loss (Avg): 0.4977 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5306 | Dis Loss (Avg): 0.4964 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5259 | Dis Loss (Avg): 0.5142 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5244 | Dis Loss (Avg): 0.5122 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5179 | Dis Loss (Avg): 0.5102 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5125 | Dis Loss (Avg): 0.5106 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5117 | Dis Loss (Avg): 0.5098 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5169 | Dis Loss (Avg): 0.5067 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5268 | Dis Loss (Avg): 0.5026 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5378 | Dis Loss (Avg): 0.4983 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5342 | Dis Loss (Avg): 0.4997 | Real Acc: 87.50% | Fake Acc: 100.00% Time elapsed: 0.51 min Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5276 | Dis Loss (Avg): 0.5012 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5251 | Dis Loss (Avg): 0.5032 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5173 | Dis Loss (Avg): 0.5338 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5112 | Dis Loss (Avg): 0.5340 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5031 | Dis Loss (Avg): 0.5358 | Real Acc: 93.75% | Fake Acc: 62.50% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5005 | Dis Loss (Avg): 0.5349 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5055 | Dis Loss (Avg): 0.5321 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5032 | Dis Loss (Avg): 0.5461 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5018 | Dis Loss (Avg): 0.5431 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4949 | Dis Loss (Avg): 0.5413 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4907 | Dis Loss (Avg): 0.5401 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4911 | Dis Loss (Avg): 0.5382 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4959 | Dis Loss (Avg): 0.5348 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4931 | Dis Loss (Avg): 0.5531 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4853 | Dis Loss (Avg): 0.5550 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4810 | Dis Loss (Avg): 0.5533 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.57 min Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4821 | Dis Loss (Avg): 0.5502 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4865 | Dis Loss (Avg): 0.5462 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4859 | Dis Loss (Avg): 0.5426 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4832 | Dis Loss (Avg): 0.5398 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4822 | Dis Loss (Avg): 0.5374 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4840 | Dis Loss (Avg): 0.5345 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4812 | Dis Loss (Avg): 0.5366 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4723 | Dis Loss (Avg): 0.5351 | Real Acc: 93.75% | Fake Acc: 18.75% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4650 | Dis Loss (Avg): 0.5366 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4628 | Dis Loss (Avg): 0.5367 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4590 | Dis Loss (Avg): 0.5412 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4597 | Dis Loss (Avg): 0.5382 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4654 | Dis Loss (Avg): 0.5344 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4730 | Dis Loss (Avg): 0.5304 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4785 | Dis Loss (Avg): 0.5266 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4765 | Dis Loss (Avg): 0.5251 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.65 min Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4663 | Dis Loss (Avg): 0.5291 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4584 | Dis Loss (Avg): 0.5328 | Real Acc: 100.00% | Fake Acc: 37.50% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4546 | Dis Loss (Avg): 0.5335 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4568 | Dis Loss (Avg): 0.5323 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4576 | Dis Loss (Avg): 0.5299 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4493 | Dis Loss (Avg): 0.5316 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4416 | Dis Loss (Avg): 0.5373 | Real Acc: 100.00% | Fake Acc: 25.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4426 | Dis Loss (Avg): 0.5405 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4368 | Dis Loss (Avg): 0.5439 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4291 | Dis Loss (Avg): 0.5473 | Real Acc: 93.75% | Fake Acc: 25.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4305 | Dis Loss (Avg): 0.5484 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4230 | Dis Loss (Avg): 0.5613 | Real Acc: 87.50% | Fake Acc: 37.50% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4197 | Dis Loss (Avg): 0.5620 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4139 | Dis Loss (Avg): 0.5600 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4193 | Dis Loss (Avg): 0.5581 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4388 | Dis Loss (Avg): 0.5537 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.72 min Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4448 | Dis Loss (Avg): 0.5519 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4364 | Dis Loss (Avg): 0.5902 | Real Acc: 81.25% | Fake Acc: 18.75% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4329 | Dis Loss (Avg): 0.5901 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4377 | Dis Loss (Avg): 0.5870 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4446 | Dis Loss (Avg): 0.5873 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4527 | Dis Loss (Avg): 0.5826 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4611 | Dis Loss (Avg): 0.5782 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4551 | Dis Loss (Avg): 0.5991 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4504 | Dis Loss (Avg): 0.5987 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4441 | Dis Loss (Avg): 0.5995 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4369 | Dis Loss (Avg): 0.5972 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4329 | Dis Loss (Avg): 0.5950 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4337 | Dis Loss (Avg): 0.5918 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4385 | Dis Loss (Avg): 0.5875 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4463 | Dis Loss (Avg): 0.5827 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4447 | Dis Loss (Avg): 0.5809 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.79 min Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4431 | Dis Loss (Avg): 0.5792 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4350 | Dis Loss (Avg): 0.5956 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4304 | Dis Loss (Avg): 0.5962 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4299 | Dis Loss (Avg): 0.5932 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4330 | Dis Loss (Avg): 0.5892 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4314 | Dis Loss (Avg): 0.6002 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4307 | Dis Loss (Avg): 0.5961 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4332 | Dis Loss (Avg): 0.5919 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4385 | Dis Loss (Avg): 0.5872 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4391 | Dis Loss (Avg): 0.5853 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4385 | Dis Loss (Avg): 0.5812 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4386 | Dis Loss (Avg): 0.5773 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4402 | Dis Loss (Avg): 0.5733 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4435 | Dis Loss (Avg): 0.5693 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4397 | Dis Loss (Avg): 0.5704 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4359 | Dis Loss (Avg): 0.5673 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.86 min Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4349 | Dis Loss (Avg): 0.5643 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4340 | Dis Loss (Avg): 0.5641 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4350 | Dis Loss (Avg): 0.5608 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4379 | Dis Loss (Avg): 0.5573 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4427 | Dis Loss (Avg): 0.5536 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4492 | Dis Loss (Avg): 0.5500 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4437 | Dis Loss (Avg): 0.5648 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4313 | Dis Loss (Avg): 0.5749 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4202 | Dis Loss (Avg): 0.5797 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4144 | Dis Loss (Avg): 0.5815 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4111 | Dis Loss (Avg): 0.5791 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4149 | Dis Loss (Avg): 0.5761 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4153 | Dis Loss (Avg): 0.5826 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4194 | Dis Loss (Avg): 0.5799 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4271 | Dis Loss (Avg): 0.5764 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4375 | Dis Loss (Avg): 0.5718 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.93 min Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4373 | Dis Loss (Avg): 0.6093 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4300 | Dis Loss (Avg): 0.6202 | Real Acc: 93.75% | Fake Acc: 75.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4312 | Dis Loss (Avg): 0.6203 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4416 | Dis Loss (Avg): 0.6166 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4407 | Dis Loss (Avg): 0.6314 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4402 | Dis Loss (Avg): 0.6296 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4454 | Dis Loss (Avg): 0.6266 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4439 | Dis Loss (Avg): 0.6348 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4350 | Dis Loss (Avg): 0.6415 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4302 | Dis Loss (Avg): 0.6407 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4321 | Dis Loss (Avg): 0.6369 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4395 | Dis Loss (Avg): 0.6318 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4504 | Dis Loss (Avg): 0.6261 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4623 | Dis Loss (Avg): 0.6204 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4630 | Dis Loss (Avg): 0.6219 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4548 | Dis Loss (Avg): 0.6186 | Real Acc: 93.75% | Fake Acc: 18.75% Time elapsed: 1.00 min Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4461 | Dis Loss (Avg): 0.6176 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4398 | Dis Loss (Avg): 0.6164 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4346 | Dis Loss (Avg): 0.6147 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4318 | Dis Loss (Avg): 0.6114 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4323 | Dis Loss (Avg): 0.6073 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4361 | Dis Loss (Avg): 0.6027 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4359 | Dis Loss (Avg): 0.6037 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4352 | Dis Loss (Avg): 0.5993 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4358 | Dis Loss (Avg): 0.5951 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4378 | Dis Loss (Avg): 0.5909 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4411 | Dis Loss (Avg): 0.5866 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4399 | Dis Loss (Avg): 0.5984 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4384 | Dis Loss (Avg): 0.5954 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4380 | Dis Loss (Avg): 0.5928 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4387 | Dis Loss (Avg): 0.5897 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4342 | Dis Loss (Avg): 0.5974 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 1.06 min Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4263 | Dis Loss (Avg): 0.6001 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4222 | Dis Loss (Avg): 0.5987 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4233 | Dis Loss (Avg): 0.5956 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4289 | Dis Loss (Avg): 0.5912 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4369 | Dis Loss (Avg): 0.5863 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4439 | Dis Loss (Avg): 0.5815 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4495 | Dis Loss (Avg): 0.5769 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4557 | Dis Loss (Avg): 0.5724 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4627 | Dis Loss (Avg): 0.5679 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4622 | Dis Loss (Avg): 0.5663 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4624 | Dis Loss (Avg): 0.5649 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4564 | Dis Loss (Avg): 0.5876 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4555 | Dis Loss (Avg): 0.5872 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4533 | Dis Loss (Avg): 0.5842 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4543 | Dis Loss (Avg): 0.5810 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4523 | Dis Loss (Avg): 0.5856 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 1.13 min Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4449 | Dis Loss (Avg): 0.5850 | Real Acc: 93.75% | Fake Acc: 50.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4413 | Dis Loss (Avg): 0.5844 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4436 | Dis Loss (Avg): 0.5818 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4467 | Dis Loss (Avg): 0.5821 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4519 | Dis Loss (Avg): 0.5775 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4509 | Dis Loss (Avg): 0.5816 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4501 | Dis Loss (Avg): 0.5781 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4457 | Dis Loss (Avg): 0.5751 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4433 | Dis Loss (Avg): 0.5728 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4380 | Dis Loss (Avg): 0.5761 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4362 | Dis Loss (Avg): 0.5742 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4375 | Dis Loss (Avg): 0.5709 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4352 | Dis Loss (Avg): 0.5693 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4327 | Dis Loss (Avg): 0.5660 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4326 | Dis Loss (Avg): 0.5625 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4353 | Dis Loss (Avg): 0.5585 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.21 min Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4405 | Dis Loss (Avg): 0.5541 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4474 | Dis Loss (Avg): 0.5495 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4545 | Dis Loss (Avg): 0.5449 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4526 | Dis Loss (Avg): 0.5520 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4484 | Dis Loss (Avg): 0.5496 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4458 | Dis Loss (Avg): 0.5479 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4459 | Dis Loss (Avg): 0.5454 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4451 | Dis Loss (Avg): 0.5495 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4456 | Dis Loss (Avg): 0.5464 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4504 | Dis Loss (Avg): 0.5432 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4457 | Dis Loss (Avg): 0.5482 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4382 | Dis Loss (Avg): 0.5499 | Real Acc: 93.75% | Fake Acc: 50.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4358 | Dis Loss (Avg): 0.5491 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4391 | Dis Loss (Avg): 0.5460 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4477 | Dis Loss (Avg): 0.5418 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4595 | Dis Loss (Avg): 0.5372 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.28 min Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4618 | Dis Loss (Avg): 0.5523 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4610 | Dis Loss (Avg): 0.5487 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4544 | Dis Loss (Avg): 0.5615 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4491 | Dis Loss (Avg): 0.5601 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4471 | Dis Loss (Avg): 0.5579 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4486 | Dis Loss (Avg): 0.5545 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4530 | Dis Loss (Avg): 0.5503 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4511 | Dis Loss (Avg): 0.5550 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4471 | Dis Loss (Avg): 0.5519 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4442 | Dis Loss (Avg): 0.5492 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4432 | Dis Loss (Avg): 0.5460 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4443 | Dis Loss (Avg): 0.5423 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4476 | Dis Loss (Avg): 0.5384 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4524 | Dis Loss (Avg): 0.5342 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4521 | Dis Loss (Avg): 0.5392 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4487 | Dis Loss (Avg): 0.5359 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:30:57,526] Trial 0 finished with value: 0.5359116051540715 and parameters: {'latent_dim': 176, 'lr_gen': 0.0001836872559754816, 'lr_discr': 0.0010086100436401011, 'batch_size': 40, 'num_epochs': 19}. Best is trial 0 with value: 0.5359116051540715.
Time elapsed: 1.35 min Total Training Time: 1.35 min Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0097 | Dis Loss (Avg): 0.0070 | Real Acc: 0.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0153 | Dis Loss (Avg): 0.0331 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0403 | Dis Loss (Avg): 0.0580 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0474 | Dis Loss (Avg): 0.0919 | Real Acc: 37.50% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0719 | Dis Loss (Avg): 0.1053 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0766 | Dis Loss (Avg): 0.1265 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0879 | Dis Loss (Avg): 0.1401 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.1048 | Dis Loss (Avg): 0.1491 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.1147 | Dis Loss (Avg): 0.1649 | Real Acc: 43.75% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.1768 | Dis Loss (Avg): 0.1792 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2306 | Dis Loss (Avg): 0.1786 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2673 | Dis Loss (Avg): 0.1788 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2795 | Dis Loss (Avg): 0.1822 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2799 | Dis Loss (Avg): 0.1895 | Real Acc: 62.50% | Fake Acc: 0.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2970 | Dis Loss (Avg): 0.2059 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.3406 | Dis Loss (Avg): 0.2130 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.07 min Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.3515 | Dis Loss (Avg): 0.2293 | Real Acc: 31.25% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.3594 | Dis Loss (Avg): 0.2348 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.3879 | Dis Loss (Avg): 0.2378 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.3962 | Dis Loss (Avg): 0.2515 | Real Acc: 50.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4131 | Dis Loss (Avg): 0.2541 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4195 | Dis Loss (Avg): 0.2577 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4292 | Dis Loss (Avg): 0.2609 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4361 | Dis Loss (Avg): 0.2875 | Real Acc: 43.75% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4446 | Dis Loss (Avg): 0.2895 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4467 | Dis Loss (Avg): 0.2938 | Real Acc: 68.75% | Fake Acc: 37.50% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4537 | Dis Loss (Avg): 0.2970 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4584 | Dis Loss (Avg): 0.2984 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4570 | Dis Loss (Avg): 0.3004 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4609 | Dis Loss (Avg): 0.3054 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4801 | Dis Loss (Avg): 0.3060 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4841 | Dis Loss (Avg): 0.3550 | Real Acc: 43.75% | Fake Acc: 100.00% Time elapsed: 0.14 min Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.4889 | Dis Loss (Avg): 0.3555 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.4874 | Dis Loss (Avg): 0.3607 | Real Acc: 62.50% | Fake Acc: 0.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.4891 | Dis Loss (Avg): 0.3640 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.4981 | Dis Loss (Avg): 0.3647 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5032 | Dis Loss (Avg): 0.3737 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5035 | Dis Loss (Avg): 0.3739 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5059 | Dis Loss (Avg): 0.3757 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5135 | Dis Loss (Avg): 0.3760 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5145 | Dis Loss (Avg): 0.3835 | Real Acc: 68.75% | Fake Acc: 6.25% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5185 | Dis Loss (Avg): 0.3843 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5169 | Dis Loss (Avg): 0.3884 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5213 | Dis Loss (Avg): 0.3924 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5304 | Dis Loss (Avg): 0.3927 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5280 | Dis Loss (Avg): 0.4015 | Real Acc: 62.50% | Fake Acc: 0.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5351 | Dis Loss (Avg): 0.4041 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5555 | Dis Loss (Avg): 0.4036 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.20 min Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5579 | Dis Loss (Avg): 0.4493 | Real Acc: 50.00% | Fake Acc: 93.75% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5580 | Dis Loss (Avg): 0.4652 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5648 | Dis Loss (Avg): 0.4654 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5724 | Dis Loss (Avg): 0.4648 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5817 | Dis Loss (Avg): 0.4669 | Real Acc: 56.25% | Fake Acc: 75.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5861 | Dis Loss (Avg): 0.4677 | Real Acc: 100.00% | Fake Acc: 50.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5935 | Dis Loss (Avg): 0.4689 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5942 | Dis Loss (Avg): 0.4721 | Real Acc: 75.00% | Fake Acc: 25.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5991 | Dis Loss (Avg): 0.4724 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6026 | Dis Loss (Avg): 0.4727 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6007 | Dis Loss (Avg): 0.4802 | Real Acc: 50.00% | Fake Acc: 12.50% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6040 | Dis Loss (Avg): 0.4821 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6159 | Dis Loss (Avg): 0.4817 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6173 | Dis Loss (Avg): 0.5019 | Real Acc: 37.50% | Fake Acc: 62.50% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6146 | Dis Loss (Avg): 0.5039 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6194 | Dis Loss (Avg): 0.5063 | Real Acc: 100.00% | Fake Acc: 93.75% Time elapsed: 0.27 min Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6293 | Dis Loss (Avg): 0.5077 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6296 | Dis Loss (Avg): 0.5461 | Real Acc: 37.50% | Fake Acc: 25.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6310 | Dis Loss (Avg): 0.5509 | Real Acc: 81.25% | Fake Acc: 50.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6435 | Dis Loss (Avg): 0.5495 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6439 | Dis Loss (Avg): 0.5509 | Real Acc: 75.00% | Fake Acc: 37.50% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6461 | Dis Loss (Avg): 0.5501 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6456 | Dis Loss (Avg): 0.5538 | Real Acc: 81.25% | Fake Acc: 25.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6457 | Dis Loss (Avg): 0.5564 | Real Acc: 87.50% | Fake Acc: 43.75% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6536 | Dis Loss (Avg): 0.5559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6535 | Dis Loss (Avg): 0.5614 | Real Acc: 50.00% | Fake Acc: 56.25% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6578 | Dis Loss (Avg): 0.5616 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6577 | Dis Loss (Avg): 0.5632 | Real Acc: 87.50% | Fake Acc: 31.25% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6627 | Dis Loss (Avg): 0.5625 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6617 | Dis Loss (Avg): 0.5702 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6653 | Dis Loss (Avg): 0.5702 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6639 | Dis Loss (Avg): 0.5692 | Real Acc: 81.25% | Fake Acc: 12.50% Time elapsed: 0.34 min Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6662 | Dis Loss (Avg): 0.5697 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6679 | Dis Loss (Avg): 0.5734 | Real Acc: 75.00% | Fake Acc: 81.25% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6650 | Dis Loss (Avg): 0.5730 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6687 | Dis Loss (Avg): 0.5736 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6756 | Dis Loss (Avg): 0.5728 | Real Acc: 93.75% | Fake Acc: 31.25% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6800 | Dis Loss (Avg): 0.5724 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6797 | Dis Loss (Avg): 0.5883 | Real Acc: 50.00% | Fake Acc: 37.50% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6849 | Dis Loss (Avg): 0.5868 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6843 | Dis Loss (Avg): 0.5858 | Real Acc: 81.25% | Fake Acc: 25.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6907 | Dis Loss (Avg): 0.5855 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6955 | Dis Loss (Avg): 0.5840 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6922 | Dis Loss (Avg): 0.5855 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6923 | Dis Loss (Avg): 0.5870 | Real Acc: 93.75% | Fake Acc: 50.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.7051 | Dis Loss (Avg): 0.5858 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.7068 | Dis Loss (Avg): 0.6058 | Real Acc: 31.25% | Fake Acc: 87.50% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.7021 | Dis Loss (Avg): 0.6064 | Real Acc: 68.75% | Fake Acc: 0.00% Time elapsed: 0.41 min Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7052 | Dis Loss (Avg): 0.6111 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7213 | Dis Loss (Avg): 0.6122 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7218 | Dis Loss (Avg): 0.6366 | Real Acc: 56.25% | Fake Acc: 43.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7205 | Dis Loss (Avg): 0.6429 | Real Acc: 75.00% | Fake Acc: 25.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7259 | Dis Loss (Avg): 0.6427 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7351 | Dis Loss (Avg): 0.6391 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7324 | Dis Loss (Avg): 0.6379 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7348 | Dis Loss (Avg): 0.6401 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7451 | Dis Loss (Avg): 0.6400 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7451 | Dis Loss (Avg): 0.6730 | Real Acc: 18.75% | Fake Acc: 68.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7428 | Dis Loss (Avg): 0.6736 | Real Acc: 81.25% | Fake Acc: 37.50% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7461 | Dis Loss (Avg): 0.6750 | Real Acc: 100.00% | Fake Acc: 31.25% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7447 | Dis Loss (Avg): 0.6833 | Real Acc: 81.25% | Fake Acc: 31.25% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7534 | Dis Loss (Avg): 0.6823 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7547 | Dis Loss (Avg): 0.7030 | Real Acc: 25.00% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7507 | Dis Loss (Avg): 0.7035 | Real Acc: 62.50% | Fake Acc: 0.00% Time elapsed: 0.48 min Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7498 | Dis Loss (Avg): 0.7037 | Real Acc: 100.00% | Fake Acc: 37.50% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7544 | Dis Loss (Avg): 0.7015 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7546 | Dis Loss (Avg): 0.7031 | Real Acc: 62.50% | Fake Acc: 75.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7560 | Dis Loss (Avg): 0.7003 | Real Acc: 93.75% | Fake Acc: 75.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7602 | Dis Loss (Avg): 0.6971 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7607 | Dis Loss (Avg): 0.6957 | Real Acc: 81.25% | Fake Acc: 93.75% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7637 | Dis Loss (Avg): 0.6924 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7614 | Dis Loss (Avg): 0.6911 | Real Acc: 75.00% | Fake Acc: 31.25% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7624 | Dis Loss (Avg): 0.6912 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7626 | Dis Loss (Avg): 0.6900 | Real Acc: 93.75% | Fake Acc: 43.75% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7642 | Dis Loss (Avg): 0.6875 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7689 | Dis Loss (Avg): 0.6851 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7645 | Dis Loss (Avg): 0.6848 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7646 | Dis Loss (Avg): 0.6848 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7740 | Dis Loss (Avg): 0.6813 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7744 | Dis Loss (Avg): 0.6964 | Real Acc: 50.00% | Fake Acc: 87.50% Time elapsed: 0.54 min Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7767 | Dis Loss (Avg): 0.6934 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7743 | Dis Loss (Avg): 0.6927 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7811 | Dis Loss (Avg): 0.6909 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7812 | Dis Loss (Avg): 0.6902 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7875 | Dis Loss (Avg): 0.6880 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7893 | Dis Loss (Avg): 0.6928 | Real Acc: 56.25% | Fake Acc: 93.75% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7861 | Dis Loss (Avg): 0.6943 | Real Acc: 62.50% | Fake Acc: 6.25% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7892 | Dis Loss (Avg): 0.6950 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7890 | Dis Loss (Avg): 0.6955 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7883 | Dis Loss (Avg): 0.6973 | Real Acc: 62.50% | Fake Acc: 25.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7908 | Dis Loss (Avg): 0.6954 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7957 | Dis Loss (Avg): 0.6920 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7941 | Dis Loss (Avg): 0.6912 | Real Acc: 62.50% | Fake Acc: 31.25% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7958 | Dis Loss (Avg): 0.6885 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7932 | Dis Loss (Avg): 0.6874 | Real Acc: 75.00% | Fake Acc: 31.25% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7928 | Dis Loss (Avg): 0.6863 | Real Acc: 100.00% | Fake Acc: 75.00% Time elapsed: 0.61 min Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7964 | Dis Loss (Avg): 0.6839 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7960 | Dis Loss (Avg): 0.6905 | Real Acc: 37.50% | Fake Acc: 81.25% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7937 | Dis Loss (Avg): 0.6875 | Real Acc: 87.50% | Fake Acc: 12.50% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7935 | Dis Loss (Avg): 0.6865 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7921 | Dis Loss (Avg): 0.6839 | Real Acc: 93.75% | Fake Acc: 43.75% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7960 | Dis Loss (Avg): 0.6819 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7941 | Dis Loss (Avg): 0.6904 | Real Acc: 50.00% | Fake Acc: 31.25% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7894 | Dis Loss (Avg): 0.6884 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7902 | Dis Loss (Avg): 0.6886 | Real Acc: 100.00% | Fake Acc: 50.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7970 | Dis Loss (Avg): 0.6864 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7961 | Dis Loss (Avg): 0.6919 | Real Acc: 43.75% | Fake Acc: 50.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7941 | Dis Loss (Avg): 0.6896 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7954 | Dis Loss (Avg): 0.6875 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7932 | Dis Loss (Avg): 0.6871 | Real Acc: 75.00% | Fake Acc: 12.50% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7949 | Dis Loss (Avg): 0.6846 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7936 | Dis Loss (Avg): 0.6817 | Real Acc: 87.50% | Fake Acc: 50.00% Time elapsed: 0.68 min Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7954 | Dis Loss (Avg): 0.6800 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7944 | Dis Loss (Avg): 0.6816 | Real Acc: 62.50% | Fake Acc: 75.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7947 | Dis Loss (Avg): 0.6790 | Real Acc: 100.00% | Fake Acc: 62.50% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7921 | Dis Loss (Avg): 0.6763 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7926 | Dis Loss (Avg): 0.6743 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7994 | Dis Loss (Avg): 0.6710 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7996 | Dis Loss (Avg): 0.6859 | Real Acc: 56.25% | Fake Acc: 87.50% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7980 | Dis Loss (Avg): 0.6834 | Real Acc: 93.75% | Fake Acc: 31.25% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7998 | Dis Loss (Avg): 0.6813 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8072 | Dis Loss (Avg): 0.6786 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8063 | Dis Loss (Avg): 0.6847 | Real Acc: 75.00% | Fake Acc: 87.50% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8017 | Dis Loss (Avg): 0.6844 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7987 | Dis Loss (Avg): 0.6856 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8053 | Dis Loss (Avg): 0.6838 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8046 | Dis Loss (Avg): 0.6875 | Real Acc: 37.50% | Fake Acc: 81.25% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8013 | Dis Loss (Avg): 0.6845 | Real Acc: 93.75% | Fake Acc: 0.00% Time elapsed: 0.75 min Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8030 | Dis Loss (Avg): 0.6826 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8146 | Dis Loss (Avg): 0.6794 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8152 | Dis Loss (Avg): 0.6856 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8143 | Dis Loss (Avg): 0.6842 | Real Acc: 81.25% | Fake Acc: 50.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8199 | Dis Loss (Avg): 0.6830 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8211 | Dis Loss (Avg): 0.6794 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8163 | Dis Loss (Avg): 0.6784 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8155 | Dis Loss (Avg): 0.6778 | Real Acc: 100.00% | Fake Acc: 62.50% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8217 | Dis Loss (Avg): 0.6755 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8209 | Dis Loss (Avg): 0.6768 | Real Acc: 43.75% | Fake Acc: 81.25% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8216 | Dis Loss (Avg): 0.6739 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8236 | Dis Loss (Avg): 0.6707 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8219 | Dis Loss (Avg): 0.6683 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8229 | Dis Loss (Avg): 0.6661 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8218 | Dis Loss (Avg): 0.6639 | Real Acc: 87.50% | Fake Acc: 31.25% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8228 | Dis Loss (Avg): 0.6626 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.82 min Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8232 | Dis Loss (Avg): 0.6597 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8216 | Dis Loss (Avg): 0.6566 | Real Acc: 93.75% | Fake Acc: 25.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8243 | Dis Loss (Avg): 0.6545 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8204 | Dis Loss (Avg): 0.6549 | Real Acc: 75.00% | Fake Acc: 6.25% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8209 | Dis Loss (Avg): 0.6551 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8247 | Dis Loss (Avg): 0.6517 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8212 | Dis Loss (Avg): 0.6525 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8205 | Dis Loss (Avg): 0.6521 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8213 | Dis Loss (Avg): 0.6495 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8175 | Dis Loss (Avg): 0.6479 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8157 | Dis Loss (Avg): 0.6470 | Real Acc: 100.00% | Fake Acc: 12.50% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8177 | Dis Loss (Avg): 0.6445 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8160 | Dis Loss (Avg): 0.6448 | Real Acc: 56.25% | Fake Acc: 12.50% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8157 | Dis Loss (Avg): 0.6425 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8165 | Dis Loss (Avg): 0.6397 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8130 | Dis Loss (Avg): 0.6380 | Real Acc: 81.25% | Fake Acc: 0.00% Time elapsed: 0.89 min Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8141 | Dis Loss (Avg): 0.6373 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8113 | Dis Loss (Avg): 0.6351 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8122 | Dis Loss (Avg): 0.6339 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8110 | Dis Loss (Avg): 0.6315 | Real Acc: 87.50% | Fake Acc: 43.75% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8111 | Dis Loss (Avg): 0.6299 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8108 | Dis Loss (Avg): 0.6283 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8103 | Dis Loss (Avg): 0.6260 | Real Acc: 100.00% | Fake Acc: 62.50% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8136 | Dis Loss (Avg): 0.6235 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8141 | Dis Loss (Avg): 0.6214 | Real Acc: 87.50% | Fake Acc: 87.50% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8095 | Dis Loss (Avg): 0.6195 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8090 | Dis Loss (Avg): 0.6201 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8152 | Dis Loss (Avg): 0.6181 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8148 | Dis Loss (Avg): 0.6192 | Real Acc: 56.25% | Fake Acc: 81.25% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8157 | Dis Loss (Avg): 0.6166 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8168 | Dis Loss (Avg): 0.6141 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8115 | Dis Loss (Avg): 0.6121 | Real Acc: 81.25% | Fake Acc: 6.25% Time elapsed: 0.96 min Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8078 | Dis Loss (Avg): 0.6183 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8108 | Dis Loss (Avg): 0.6183 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8088 | Dis Loss (Avg): 0.6195 | Real Acc: 81.25% | Fake Acc: 31.25% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8108 | Dis Loss (Avg): 0.6181 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8163 | Dis Loss (Avg): 0.6156 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8144 | Dis Loss (Avg): 0.6143 | Real Acc: 81.25% | Fake Acc: 31.25% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8147 | Dis Loss (Avg): 0.6132 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8174 | Dis Loss (Avg): 0.6112 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8160 | Dis Loss (Avg): 0.6094 | Real Acc: 81.25% | Fake Acc: 31.25% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8171 | Dis Loss (Avg): 0.6087 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8140 | Dis Loss (Avg): 0.6094 | Real Acc: 62.50% | Fake Acc: 0.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8152 | Dis Loss (Avg): 0.6084 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8203 | Dis Loss (Avg): 0.6058 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8176 | Dis Loss (Avg): 0.6033 | Real Acc: 87.50% | Fake Acc: 12.50% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8217 | Dis Loss (Avg): 0.6028 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8206 | Dis Loss (Avg): 0.6045 | Real Acc: 50.00% | Fake Acc: 68.75% Time elapsed: 1.03 min Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8201 | Dis Loss (Avg): 0.6032 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8218 | Dis Loss (Avg): 0.6017 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8275 | Dis Loss (Avg): 0.5984 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8261 | Dis Loss (Avg): 0.6023 | Real Acc: 75.00% | Fake Acc: 75.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8255 | Dis Loss (Avg): 0.6007 | Real Acc: 93.75% | Fake Acc: 75.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8283 | Dis Loss (Avg): 0.5983 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8263 | Dis Loss (Avg): 0.6005 | Real Acc: 62.50% | Fake Acc: 31.25% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8255 | Dis Loss (Avg): 0.5986 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8267 | Dis Loss (Avg): 0.5968 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8257 | Dis Loss (Avg): 0.5980 | Real Acc: 62.50% | Fake Acc: 25.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8261 | Dis Loss (Avg): 0.5959 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8285 | Dis Loss (Avg): 0.5941 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8285 | Dis Loss (Avg): 0.5923 | Real Acc: 75.00% | Fake Acc: 37.50% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8270 | Dis Loss (Avg): 0.5920 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8281 | Dis Loss (Avg): 0.5903 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8265 | Dis Loss (Avg): 0.5894 | Real Acc: 62.50% | Fake Acc: 31.25% Time elapsed: 1.09 min Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8297 | Dis Loss (Avg): 0.5884 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8291 | Dis Loss (Avg): 0.5884 | Real Acc: 87.50% | Fake Acc: 87.50% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8292 | Dis Loss (Avg): 0.5903 | Real Acc: 81.25% | Fake Acc: 87.50% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8301 | Dis Loss (Avg): 0.5883 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8334 | Dis Loss (Avg): 0.5865 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8366 | Dis Loss (Avg): 0.5841 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8328 | Dis Loss (Avg): 0.5889 | Real Acc: 56.25% | Fake Acc: 12.50% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8322 | Dis Loss (Avg): 0.5901 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8338 | Dis Loss (Avg): 0.5889 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8317 | Dis Loss (Avg): 0.5912 | Real Acc: 43.75% | Fake Acc: 6.25% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8327 | Dis Loss (Avg): 0.5894 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8317 | Dis Loss (Avg): 0.5880 | Real Acc: 87.50% | Fake Acc: 56.25% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8353 | Dis Loss (Avg): 0.5861 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8326 | Dis Loss (Avg): 0.5844 | Real Acc: 81.25% | Fake Acc: 25.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8313 | Dis Loss (Avg): 0.5845 | Real Acc: 100.00% | Fake Acc: 50.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8342 | Dis Loss (Avg): 0.5844 | Real Acc: 100.00% | Fake Acc: 93.75% Time elapsed: 1.17 min Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8359 | Dis Loss (Avg): 0.5871 | Real Acc: 87.50% | Fake Acc: 68.75% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8370 | Dis Loss (Avg): 0.5882 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8467 | Dis Loss (Avg): 0.5883 | Real Acc: 87.50% | Fake Acc: 50.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8529 | Dis Loss (Avg): 0.5873 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8544 | Dis Loss (Avg): 0.5855 | Real Acc: 81.25% | Fake Acc: 81.25% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8531 | Dis Loss (Avg): 0.5861 | Real Acc: 81.25% | Fake Acc: 62.50% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8571 | Dis Loss (Avg): 0.5846 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8547 | Dis Loss (Avg): 0.5871 | Real Acc: 62.50% | Fake Acc: 18.75% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8529 | Dis Loss (Avg): 0.6044 | Real Acc: 100.00% | Fake Acc: 18.75% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8628 | Dis Loss (Avg): 0.6038 | Real Acc: 100.00% | Fake Acc: 56.25% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8678 | Dis Loss (Avg): 0.6026 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8641 | Dis Loss (Avg): 0.6026 | Real Acc: 62.50% | Fake Acc: 6.25% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8619 | Dis Loss (Avg): 0.6039 | Real Acc: 93.75% | Fake Acc: 25.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8676 | Dis Loss (Avg): 0.6026 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:32:12,307] Trial 1 finished with value: 0.6037378536689132 and parameters: {'latent_dim': 142, 'lr_gen': 0.0031240825509457324, 'lr_discr': 0.0006767615263879749, 'batch_size': 41, 'num_epochs': 18}. Best is trial 0 with value: 0.5359116051540715.
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8682 | Dis Loss (Avg): 0.6049 | Real Acc: 43.75% | Fake Acc: 81.25% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8699 | Dis Loss (Avg): 0.6037 | Real Acc: 93.75% | Fake Acc: 93.75% Time elapsed: 1.24 min Total Training Time: 1.24 min Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0086 | Dis Loss (Avg): 0.0070 | Real Acc: 0.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0144 | Dis Loss (Avg): 0.0182 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0196 | Dis Loss (Avg): 0.0325 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0367 | Dis Loss (Avg): 0.0438 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0453 | Dis Loss (Avg): 0.0554 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0583 | Dis Loss (Avg): 0.0640 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0737 | Dis Loss (Avg): 0.0682 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0830 | Dis Loss (Avg): 0.0720 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0886 | Dis Loss (Avg): 0.0761 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0965 | Dis Loss (Avg): 0.0796 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1052 | Dis Loss (Avg): 0.0827 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1143 | Dis Loss (Avg): 0.0857 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1221 | Dis Loss (Avg): 0.0886 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1279 | Dis Loss (Avg): 0.0920 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1361 | Dis Loss (Avg): 0.0967 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1403 | Dis Loss (Avg): 0.1047 | Real Acc: 56.25% | Fake Acc: 0.00% Time elapsed: 0.07 min Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.1490 | Dis Loss (Avg): 0.1117 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.1694 | Dis Loss (Avg): 0.1150 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.1833 | Dis Loss (Avg): 0.1165 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.1963 | Dis Loss (Avg): 0.1200 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2153 | Dis Loss (Avg): 0.1221 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2201 | Dis Loss (Avg): 0.1299 | Real Acc: 68.75% | Fake Acc: 56.25% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2301 | Dis Loss (Avg): 0.1323 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2377 | Dis Loss (Avg): 0.1351 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2477 | Dis Loss (Avg): 0.1377 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2506 | Dis Loss (Avg): 0.1621 | Real Acc: 31.25% | Fake Acc: 0.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2562 | Dis Loss (Avg): 0.1653 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2657 | Dis Loss (Avg): 0.1679 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2712 | Dis Loss (Avg): 0.1705 | Real Acc: 87.50% | Fake Acc: 87.50% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2767 | Dis Loss (Avg): 0.1728 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2829 | Dis Loss (Avg): 0.1753 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2859 | Dis Loss (Avg): 0.1783 | Real Acc: 81.25% | Fake Acc: 0.00% Time elapsed: 0.14 min Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.2921 | Dis Loss (Avg): 0.1810 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3002 | Dis Loss (Avg): 0.1830 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3034 | Dis Loss (Avg): 0.1850 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3078 | Dis Loss (Avg): 0.1881 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3147 | Dis Loss (Avg): 0.1903 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3223 | Dis Loss (Avg): 0.1915 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3219 | Dis Loss (Avg): 0.1939 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3223 | Dis Loss (Avg): 0.2021 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3276 | Dis Loss (Avg): 0.2075 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3305 | Dis Loss (Avg): 0.2098 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3374 | Dis Loss (Avg): 0.2124 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3401 | Dis Loss (Avg): 0.2140 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3474 | Dis Loss (Avg): 0.2166 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3503 | Dis Loss (Avg): 0.2191 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3594 | Dis Loss (Avg): 0.2215 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3610 | Dis Loss (Avg): 0.2332 | Real Acc: 56.25% | Fake Acc: 0.00% Time elapsed: 0.20 min Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3665 | Dis Loss (Avg): 0.2362 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3683 | Dis Loss (Avg): 0.2389 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3741 | Dis Loss (Avg): 0.2412 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3765 | Dis Loss (Avg): 0.2429 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3818 | Dis Loss (Avg): 0.2447 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3898 | Dis Loss (Avg): 0.2453 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3919 | Dis Loss (Avg): 0.2538 | Real Acc: 62.50% | Fake Acc: 0.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3959 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4037 | Dis Loss (Avg): 0.2569 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4051 | Dis Loss (Avg): 0.2628 | Real Acc: 62.50% | Fake Acc: 6.25% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4081 | Dis Loss (Avg): 0.2656 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4141 | Dis Loss (Avg): 0.2667 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4167 | Dis Loss (Avg): 0.2693 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4200 | Dis Loss (Avg): 0.2705 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4241 | Dis Loss (Avg): 0.2715 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4242 | Dis Loss (Avg): 0.2724 | Real Acc: 93.75% | Fake Acc: 0.00% Time elapsed: 0.27 min Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4282 | Dis Loss (Avg): 0.2761 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4374 | Dis Loss (Avg): 0.2768 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4401 | Dis Loss (Avg): 0.2832 | Real Acc: 68.75% | Fake Acc: 68.75% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4429 | Dis Loss (Avg): 0.2843 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4479 | Dis Loss (Avg): 0.2852 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4564 | Dis Loss (Avg): 0.2850 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4604 | Dis Loss (Avg): 0.3014 | Real Acc: 43.75% | Fake Acc: 93.75% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4603 | Dis Loss (Avg): 0.3024 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4603 | Dis Loss (Avg): 0.3058 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4629 | Dis Loss (Avg): 0.3082 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4679 | Dis Loss (Avg): 0.3090 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4687 | Dis Loss (Avg): 0.3177 | Real Acc: 62.50% | Fake Acc: 25.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4720 | Dis Loss (Avg): 0.3206 | Real Acc: 100.00% | Fake Acc: 43.75% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4745 | Dis Loss (Avg): 0.3245 | Real Acc: 87.50% | Fake Acc: 62.50% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4827 | Dis Loss (Avg): 0.3269 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4848 | Dis Loss (Avg): 0.3318 | Real Acc: 68.75% | Fake Acc: 43.75% Time elapsed: 0.34 min Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.4863 | Dis Loss (Avg): 0.3349 | Real Acc: 93.75% | Fake Acc: 31.25% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.4938 | Dis Loss (Avg): 0.3371 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.4949 | Dis Loss (Avg): 0.3448 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.4961 | Dis Loss (Avg): 0.3481 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5024 | Dis Loss (Avg): 0.3488 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5043 | Dis Loss (Avg): 0.3560 | Real Acc: 68.75% | Fake Acc: 62.50% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5055 | Dis Loss (Avg): 0.3569 | Real Acc: 100.00% | Fake Acc: 37.50% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5091 | Dis Loss (Avg): 0.3585 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5113 | Dis Loss (Avg): 0.3609 | Real Acc: 75.00% | Fake Acc: 37.50% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5158 | Dis Loss (Avg): 0.3623 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5195 | Dis Loss (Avg): 0.3629 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5197 | Dis Loss (Avg): 0.3637 | Real Acc: 81.25% | Fake Acc: 6.25% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5225 | Dis Loss (Avg): 0.3659 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5326 | Dis Loss (Avg): 0.3662 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5367 | Dis Loss (Avg): 0.3876 | Real Acc: 25.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5351 | Dis Loss (Avg): 0.3966 | Real Acc: 50.00% | Fake Acc: 0.00% Time elapsed: 0.41 min Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5375 | Dis Loss (Avg): 0.3984 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5542 | Dis Loss (Avg): 0.3981 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5577 | Dis Loss (Avg): 0.3997 | Real Acc: 62.50% | Fake Acc: 62.50% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5552 | Dis Loss (Avg): 0.4027 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5561 | Dis Loss (Avg): 0.4076 | Real Acc: 100.00% | Fake Acc: 6.25% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5632 | Dis Loss (Avg): 0.4078 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5665 | Dis Loss (Avg): 0.4147 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5664 | Dis Loss (Avg): 0.4143 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5668 | Dis Loss (Avg): 0.4154 | Real Acc: 100.00% | Fake Acc: 18.75% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5706 | Dis Loss (Avg): 0.4158 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5708 | Dis Loss (Avg): 0.4177 | Real Acc: 75.00% | Fake Acc: 25.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5714 | Dis Loss (Avg): 0.4199 | Real Acc: 93.75% | Fake Acc: 31.25% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5747 | Dis Loss (Avg): 0.4202 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5749 | Dis Loss (Avg): 0.4219 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5759 | Dis Loss (Avg): 0.4225 | Real Acc: 100.00% | Fake Acc: 31.25% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5799 | Dis Loss (Avg): 0.4223 | Real Acc: 100.00% | Fake Acc: 93.75% Time elapsed: 0.48 min Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5811 | Dis Loss (Avg): 0.4246 | Real Acc: 68.75% | Fake Acc: 43.75% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5833 | Dis Loss (Avg): 0.4244 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5892 | Dis Loss (Avg): 0.4237 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5905 | Dis Loss (Avg): 0.4253 | Real Acc: 62.50% | Fake Acc: 31.25% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5934 | Dis Loss (Avg): 0.4258 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5936 | Dis Loss (Avg): 0.4255 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5963 | Dis Loss (Avg): 0.4258 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5975 | Dis Loss (Avg): 0.4257 | Real Acc: 93.75% | Fake Acc: 62.50% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5999 | Dis Loss (Avg): 0.4253 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5973 | Dis Loss (Avg): 0.4251 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5974 | Dis Loss (Avg): 0.4275 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.6036 | Dis Loss (Avg): 0.4276 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.6059 | Dis Loss (Avg): 0.4339 | Real Acc: 50.00% | Fake Acc: 87.50% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.6046 | Dis Loss (Avg): 0.4341 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.6051 | Dis Loss (Avg): 0.4351 | Real Acc: 100.00% | Fake Acc: 50.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.6104 | Dis Loss (Avg): 0.4354 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.55 min Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6118 | Dis Loss (Avg): 0.4375 | Real Acc: 75.00% | Fake Acc: 87.50% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6123 | Dis Loss (Avg): 0.4378 | Real Acc: 93.75% | Fake Acc: 43.75% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6148 | Dis Loss (Avg): 0.4408 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6194 | Dis Loss (Avg): 0.4399 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6239 | Dis Loss (Avg): 0.4396 | Real Acc: 87.50% | Fake Acc: 81.25% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6283 | Dis Loss (Avg): 0.4387 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6278 | Dis Loss (Avg): 0.4414 | Real Acc: 75.00% | Fake Acc: 12.50% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6293 | Dis Loss (Avg): 0.4418 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6352 | Dis Loss (Avg): 0.4415 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6354 | Dis Loss (Avg): 0.4453 | Real Acc: 68.75% | Fake Acc: 12.50% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6354 | Dis Loss (Avg): 0.4457 | Real Acc: 93.75% | Fake Acc: 37.50% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6380 | Dis Loss (Avg): 0.4500 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6384 | Dis Loss (Avg): 0.4503 | Real Acc: 93.75% | Fake Acc: 37.50% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6418 | Dis Loss (Avg): 0.4503 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6420 | Dis Loss (Avg): 0.4498 | Real Acc: 93.75% | Fake Acc: 31.25% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6423 | Dis Loss (Avg): 0.4511 | Real Acc: 93.75% | Fake Acc: 31.25% Time elapsed: 0.62 min Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6469 | Dis Loss (Avg): 0.4517 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6456 | Dis Loss (Avg): 0.4514 | Real Acc: 81.25% | Fake Acc: 6.25% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6484 | Dis Loss (Avg): 0.4527 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6467 | Dis Loss (Avg): 0.4533 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6516 | Dis Loss (Avg): 0.4542 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6602 | Dis Loss (Avg): 0.4528 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6578 | Dis Loss (Avg): 0.4556 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6593 | Dis Loss (Avg): 0.4571 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6682 | Dis Loss (Avg): 0.4571 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6679 | Dis Loss (Avg): 0.4704 | Real Acc: 43.75% | Fake Acc: 37.50% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6680 | Dis Loss (Avg): 0.4748 | Real Acc: 93.75% | Fake Acc: 43.75% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6720 | Dis Loss (Avg): 0.4797 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6833 | Dis Loss (Avg): 0.4817 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6852 | Dis Loss (Avg): 0.4831 | Real Acc: 87.50% | Fake Acc: 56.25% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6853 | Dis Loss (Avg): 0.4848 | Real Acc: 100.00% | Fake Acc: 50.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6936 | Dis Loss (Avg): 0.4850 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.68 min Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.6935 | Dis Loss (Avg): 0.4909 | Real Acc: 56.25% | Fake Acc: 56.25% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.6924 | Dis Loss (Avg): 0.4982 | Real Acc: 75.00% | Fake Acc: 31.25% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.6946 | Dis Loss (Avg): 0.5022 | Real Acc: 100.00% | Fake Acc: 56.25% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7073 | Dis Loss (Avg): 0.5029 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7100 | Dis Loss (Avg): 0.5110 | Real Acc: 75.00% | Fake Acc: 37.50% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7171 | Dis Loss (Avg): 0.5103 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7191 | Dis Loss (Avg): 0.5192 | Real Acc: 56.25% | Fake Acc: 93.75% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7156 | Dis Loss (Avg): 0.5190 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7144 | Dis Loss (Avg): 0.5216 | Real Acc: 100.00% | Fake Acc: 6.25% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7193 | Dis Loss (Avg): 0.5222 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7195 | Dis Loss (Avg): 0.5224 | Real Acc: 81.25% | Fake Acc: 62.50% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7297 | Dis Loss (Avg): 0.5225 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7314 | Dis Loss (Avg): 0.5223 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7301 | Dis Loss (Avg): 0.5208 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7332 | Dis Loss (Avg): 0.5211 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7312 | Dis Loss (Avg): 0.5259 | Real Acc: 68.75% | Fake Acc: 6.25% Time elapsed: 0.75 min Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7331 | Dis Loss (Avg): 0.5253 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7305 | Dis Loss (Avg): 0.5265 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7321 | Dis Loss (Avg): 0.5268 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7364 | Dis Loss (Avg): 0.5261 | Real Acc: 87.50% | Fake Acc: 87.50% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7376 | Dis Loss (Avg): 0.5258 | Real Acc: 81.25% | Fake Acc: 81.25% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7399 | Dis Loss (Avg): 0.5269 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7372 | Dis Loss (Avg): 0.5285 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7402 | Dis Loss (Avg): 0.5296 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7459 | Dis Loss (Avg): 0.5288 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7441 | Dis Loss (Avg): 0.5323 | Real Acc: 43.75% | Fake Acc: 31.25% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7448 | Dis Loss (Avg): 0.5340 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7460 | Dis Loss (Avg): 0.5350 | Real Acc: 87.50% | Fake Acc: 56.25% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7460 | Dis Loss (Avg): 0.5364 | Real Acc: 75.00% | Fake Acc: 62.50% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7496 | Dis Loss (Avg): 0.5416 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7501 | Dis Loss (Avg): 0.5446 | Real Acc: 81.25% | Fake Acc: 43.75% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7504 | Dis Loss (Avg): 0.5466 | Real Acc: 87.50% | Fake Acc: 68.75% Time elapsed: 0.82 min Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7495 | Dis Loss (Avg): 0.5531 | Real Acc: 75.00% | Fake Acc: 31.25% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7465 | Dis Loss (Avg): 0.5543 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7506 | Dis Loss (Avg): 0.5544 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7558 | Dis Loss (Avg): 0.5537 | Real Acc: 75.00% | Fake Acc: 62.50% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7577 | Dis Loss (Avg): 0.5564 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7590 | Dis Loss (Avg): 0.5557 | Real Acc: 81.25% | Fake Acc: 93.75% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7737 | Dis Loss (Avg): 0.5545 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7803 | Dis Loss (Avg): 0.5542 | Real Acc: 68.75% | Fake Acc: 12.50% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7812 | Dis Loss (Avg): 0.5588 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.8005 | Dis Loss (Avg): 0.5568 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.8056 | Dis Loss (Avg): 0.5658 | Real Acc: 50.00% | Fake Acc: 93.75% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7999 | Dis Loss (Avg): 0.5653 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7944 | Dis Loss (Avg): 0.5730 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7926 | Dis Loss (Avg): 0.5756 | Real Acc: 100.00% | Fake Acc: 12.50% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.8044 | Dis Loss (Avg): 0.5742 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.8066 | Dis Loss (Avg): 0.5901 | Real Acc: 43.75% | Fake Acc: 100.00% Time elapsed: 0.89 min Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8024 | Dis Loss (Avg): 0.5899 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8010 | Dis Loss (Avg): 0.5908 | Real Acc: 100.00% | Fake Acc: 37.50% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8075 | Dis Loss (Avg): 0.5903 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8099 | Dis Loss (Avg): 0.5941 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8082 | Dis Loss (Avg): 0.5956 | Real Acc: 68.75% | Fake Acc: 43.75% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8094 | Dis Loss (Avg): 0.5979 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8105 | Dis Loss (Avg): 0.5976 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8112 | Dis Loss (Avg): 0.5971 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8149 | Dis Loss (Avg): 0.5964 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8169 | Dis Loss (Avg): 0.6009 | Real Acc: 93.75% | Fake Acc: 75.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8221 | Dis Loss (Avg): 0.6070 | Real Acc: 93.75% | Fake Acc: 81.25% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8243 | Dis Loss (Avg): 0.6070 | Real Acc: 93.75% | Fake Acc: 62.50% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8256 | Dis Loss (Avg): 0.6081 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8243 | Dis Loss (Avg): 0.6105 | Real Acc: 68.75% | Fake Acc: 43.75% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8212 | Dis Loss (Avg): 0.6096 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8238 | Dis Loss (Avg): 0.6093 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.95 min Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8303 | Dis Loss (Avg): 0.6064 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8296 | Dis Loss (Avg): 0.6132 | Real Acc: 37.50% | Fake Acc: 62.50% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8270 | Dis Loss (Avg): 0.6180 | Real Acc: 93.75% | Fake Acc: 25.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8293 | Dis Loss (Avg): 0.6199 | Real Acc: 100.00% | Fake Acc: 43.75% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8302 | Dis Loss (Avg): 0.6200 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8395 | Dis Loss (Avg): 0.6184 | Real Acc: 87.50% | Fake Acc: 87.50% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8353 | Dis Loss (Avg): 0.6206 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8338 | Dis Loss (Avg): 0.6215 | Real Acc: 100.00% | Fake Acc: 50.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8325 | Dis Loss (Avg): 0.6214 | Real Acc: 93.75% | Fake Acc: 37.50% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8346 | Dis Loss (Avg): 0.6208 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8339 | Dis Loss (Avg): 0.6223 | Real Acc: 62.50% | Fake Acc: 31.25% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8336 | Dis Loss (Avg): 0.6218 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8385 | Dis Loss (Avg): 0.6215 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8379 | Dis Loss (Avg): 0.6248 | Real Acc: 56.25% | Fake Acc: 87.50% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8326 | Dis Loss (Avg): 0.6236 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8304 | Dis Loss (Avg): 0.6239 | Real Acc: 100.00% | Fake Acc: 25.00% Time elapsed: 1.02 min Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8369 | Dis Loss (Avg): 0.6232 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8373 | Dis Loss (Avg): 0.6265 | Real Acc: 56.25% | Fake Acc: 87.50% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8329 | Dis Loss (Avg): 0.6250 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8306 | Dis Loss (Avg): 0.6253 | Real Acc: 100.00% | Fake Acc: 31.25% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8328 | Dis Loss (Avg): 0.6247 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8329 | Dis Loss (Avg): 0.6244 | Real Acc: 75.00% | Fake Acc: 68.75% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8303 | Dis Loss (Avg): 0.6223 | Real Acc: 93.75% | Fake Acc: 37.50% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8305 | Dis Loss (Avg): 0.6220 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8315 | Dis Loss (Avg): 0.6201 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8347 | Dis Loss (Avg): 0.6190 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8314 | Dis Loss (Avg): 0.6188 | Real Acc: 56.25% | Fake Acc: 6.25% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8299 | Dis Loss (Avg): 0.6188 | Real Acc: 93.75% | Fake Acc: 37.50% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8369 | Dis Loss (Avg): 0.6171 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8372 | Dis Loss (Avg): 0.6204 | Real Acc: 62.50% | Fake Acc: 87.50% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8321 | Dis Loss (Avg): 0.6197 | Real Acc: 81.25% | Fake Acc: 6.25% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8287 | Dis Loss (Avg): 0.6227 | Real Acc: 100.00% | Fake Acc: 6.25% Time elapsed: 1.09 min Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8304 | Dis Loss (Avg): 0.6231 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8308 | Dis Loss (Avg): 0.6244 | Real Acc: 75.00% | Fake Acc: 68.75% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8392 | Dis Loss (Avg): 0.6256 | Real Acc: 87.50% | Fake Acc: 31.25% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8367 | Dis Loss (Avg): 0.6315 | Real Acc: 75.00% | Fake Acc: 25.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8374 | Dis Loss (Avg): 0.6318 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8387 | Dis Loss (Avg): 0.6294 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8338 | Dis Loss (Avg): 0.6295 | Real Acc: 62.50% | Fake Acc: 0.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8342 | Dis Loss (Avg): 0.6290 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8404 | Dis Loss (Avg): 0.6278 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8381 | Dis Loss (Avg): 0.6336 | Real Acc: 37.50% | Fake Acc: 25.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8388 | Dis Loss (Avg): 0.6341 | Real Acc: 100.00% | Fake Acc: 37.50% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8396 | Dis Loss (Avg): 0.6339 | Real Acc: 93.75% | Fake Acc: 75.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8415 | Dis Loss (Avg): 0.6324 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8388 | Dis Loss (Avg): 0.6315 | Real Acc: 75.00% | Fake Acc: 18.75% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8407 | Dis Loss (Avg): 0.6307 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8414 | Dis Loss (Avg): 0.6294 | Real Acc: 87.50% | Fake Acc: 81.25% Time elapsed: 1.16 min Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8386 | Dis Loss (Avg): 0.6290 | Real Acc: 81.25% | Fake Acc: 6.25% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8388 | Dis Loss (Avg): 0.6279 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8426 | Dis Loss (Avg): 0.6260 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8425 | Dis Loss (Avg): 0.6257 | Real Acc: 68.75% | Fake Acc: 68.75% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8406 | Dis Loss (Avg): 0.6239 | Real Acc: 93.75% | Fake Acc: 43.75% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8410 | Dis Loss (Avg): 0.6231 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8457 | Dis Loss (Avg): 0.6212 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8433 | Dis Loss (Avg): 0.6206 | Real Acc: 62.50% | Fake Acc: 31.25% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8456 | Dis Loss (Avg): 0.6204 | Real Acc: 100.00% | Fake Acc: 62.50% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8504 | Dis Loss (Avg): 0.6193 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8490 | Dis Loss (Avg): 0.6254 | Real Acc: 43.75% | Fake Acc: 43.75% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8459 | Dis Loss (Avg): 0.6261 | Real Acc: 87.50% | Fake Acc: 12.50% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8475 | Dis Loss (Avg): 0.6257 | Real Acc: 93.75% | Fake Acc: 81.25% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8524 | Dis Loss (Avg): 0.6238 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8559 | Dis Loss (Avg): 0.6217 | Real Acc: 81.25% | Fake Acc: 43.75% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8550 | Dis Loss (Avg): 0.6223 | Real Acc: 87.50% | Fake Acc: 68.75% Time elapsed: 1.23 min Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8579 | Dis Loss (Avg): 0.6208 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8547 | Dis Loss (Avg): 0.6205 | Real Acc: 75.00% | Fake Acc: 18.75% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8558 | Dis Loss (Avg): 0.6193 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8535 | Dis Loss (Avg): 0.6187 | Real Acc: 87.50% | Fake Acc: 25.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8543 | Dis Loss (Avg): 0.6175 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8574 | Dis Loss (Avg): 0.6155 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8524 | Dis Loss (Avg): 0.6162 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8486 | Dis Loss (Avg): 0.6186 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8508 | Dis Loss (Avg): 0.6191 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8502 | Dis Loss (Avg): 0.6227 | Real Acc: 43.75% | Fake Acc: 87.50% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8476 | Dis Loss (Avg): 0.6212 | Real Acc: 93.75% | Fake Acc: 6.25% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8493 | Dis Loss (Avg): 0.6211 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8485 | Dis Loss (Avg): 0.6186 | Real Acc: 81.25% | Fake Acc: 50.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8529 | Dis Loss (Avg): 0.6171 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8507 | Dis Loss (Avg): 0.6159 | Real Acc: 68.75% | Fake Acc: 25.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8521 | Dis Loss (Avg): 0.6156 | Real Acc: 100.00% | Fake Acc: 93.75% Time elapsed: 1.29 min Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8502 | Dis Loss (Avg): 0.6145 | Real Acc: 87.50% | Fake Acc: 50.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8501 | Dis Loss (Avg): 0.6135 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8487 | Dis Loss (Avg): 0.6136 | Real Acc: 87.50% | Fake Acc: 68.75% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8533 | Dis Loss (Avg): 0.6126 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8537 | Dis Loss (Avg): 0.6111 | Real Acc: 68.75% | Fake Acc: 43.75% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8538 | Dis Loss (Avg): 0.6103 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8506 | Dis Loss (Avg): 0.6084 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8513 | Dis Loss (Avg): 0.6083 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8626 | Dis Loss (Avg): 0.6055 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8707 | Dis Loss (Avg): 0.6150 | Real Acc: 37.50% | Fake Acc: 50.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8679 | Dis Loss (Avg): 0.6155 | Real Acc: 75.00% | Fake Acc: 6.25% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8689 | Dis Loss (Avg): 0.6159 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8661 | Dis Loss (Avg): 0.6196 | Real Acc: 37.50% | Fake Acc: 37.50% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8669 | Dis Loss (Avg): 0.6188 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8663 | Dis Loss (Avg): 0.6183 | Real Acc: 93.75% | Fake Acc: 62.50%
[I 2025-01-13 12:33:34,607] Trial 2 finished with value: 0.6162875334934653 and parameters: {'latent_dim': 134, 'lr_gen': 0.0023811723703831395, 'lr_discr': 0.00035026627100548407, 'batch_size': 38, 'num_epochs': 20}. Best is trial 0 with value: 0.5359116051540715.
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8695 | Dis Loss (Avg): 0.6163 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 1.36 min Total Training Time: 1.36 min Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0014 | Dis Loss (Avg): 0.0070 | Real Acc: 18.75% | Fake Acc: 0.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.3306 | Dis Loss (Avg): 0.0177 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.7466 | Dis Loss (Avg): 0.0335 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 1.2043 | Dis Loss (Avg): 0.0332 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 1.6696 | Dis Loss (Avg): 0.0328 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 2.1250 | Dis Loss (Avg): 0.0325 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 2.5606 | Dis Loss (Avg): 0.0322 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 2.8935 | Dis Loss (Avg): 0.0720 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 3.1721 | Dis Loss (Avg): 0.0713 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 3.4124 | Dis Loss (Avg): 0.0706 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 3.6201 | Dis Loss (Avg): 0.0699 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 3.7970 | Dis Loss (Avg): 0.0692 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 3.9454 | Dis Loss (Avg): 0.0685 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 4.0551 | Dis Loss (Avg): 0.0684 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 4.1333 | Dis Loss (Avg): 0.0677 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 4.1729 | Dis Loss (Avg): 0.0671 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.07 min Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.2448 | Dis Loss (Avg): 0.1103 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.3133 | Dis Loss (Avg): 0.1092 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.3659 | Dis Loss (Avg): 0.1081 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.5031 | Dis Loss (Avg): 0.1071 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.6690 | Dis Loss (Avg): 0.1060 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.8367 | Dis Loss (Avg): 0.1050 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.9924 | Dis Loss (Avg): 0.1039 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 5.1200 | Dis Loss (Avg): 0.1029 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 5.2108 | Dis Loss (Avg): 0.1018 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 5.4541 | Dis Loss (Avg): 0.1009 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 5.7639 | Dis Loss (Avg): 0.0999 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 6.0972 | Dis Loss (Avg): 0.0989 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 6.4324 | Dis Loss (Avg): 0.0979 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 6.7442 | Dis Loss (Avg): 0.0969 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 7.0283 | Dis Loss (Avg): 0.0959 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 7.2442 | Dis Loss (Avg): 0.0950 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.14 min Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 7.4431 | Dis Loss (Avg): 0.0940 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 7.5645 | Dis Loss (Avg): 0.0931 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 8.6464 | Dis Loss (Avg): 0.0924 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 9.6844 | Dis Loss (Avg): 0.1990 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 10.6896 | Dis Loss (Avg): 0.1970 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 11.6256 | Dis Loss (Avg): 0.1951 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 12.4801 | Dis Loss (Avg): 0.1931 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 13.2486 | Dis Loss (Avg): 0.1912 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 13.9221 | Dis Loss (Avg): 0.1893 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 14.4934 | Dis Loss (Avg): 0.1874 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 14.9615 | Dis Loss (Avg): 0.1855 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 15.3517 | Dis Loss (Avg): 0.1836 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 15.5930 | Dis Loss (Avg): 0.1818 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 15.7569 | Dis Loss (Avg): 0.1800 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 15.7787 | Dis Loss (Avg): 0.1782 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 16.9763 | Dis Loss (Avg): 0.1976 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.20 min Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 18.5647 | Dis Loss (Avg): 0.1956 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 19.9466 | Dis Loss (Avg): 0.4220 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 20.8421 | Dis Loss (Avg): 0.4690 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.4673 | Dis Loss (Avg): 0.4643 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.7900 | Dis Loss (Avg): 0.4810 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.9250 | Dis Loss (Avg): 0.4761 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.9723 | Dis Loss (Avg): 0.4714 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.8976 | Dis Loss (Avg): 0.4667 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.7094 | Dis Loss (Avg): 0.5021 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.9076 | Dis Loss (Avg): 0.5238 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 22.1922 | Dis Loss (Avg): 0.5186 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 22.4855 | Dis Loss (Avg): 0.5134 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 22.6985 | Dis Loss (Avg): 0.5082 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 22.6218 | Dis Loss (Avg): 0.7263 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 22.9382 | Dis Loss (Avg): 0.7278 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 23.3268 | Dis Loss (Avg): 0.7205 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.27 min Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.4817 | Dis Loss (Avg): 0.7866 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.4898 | Dis Loss (Avg): 0.7787 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.3829 | Dis Loss (Avg): 0.7709 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.5990 | Dis Loss (Avg): 0.7725 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.8635 | Dis Loss (Avg): 0.7648 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.8908 | Dis Loss (Avg): 0.7806 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.7489 | Dis Loss (Avg): 0.7728 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.7629 | Dis Loss (Avg): 0.7679 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.7763 | Dis Loss (Avg): 0.7602 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.7292 | Dis Loss (Avg): 0.7526 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.5911 | Dis Loss (Avg): 0.7451 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.6031 | Dis Loss (Avg): 0.8086 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.6187 | Dis Loss (Avg): 1.2667 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.5796 | Dis Loss (Avg): 1.2957 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.4954 | Dis Loss (Avg): 1.2827 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.3830 | Dis Loss (Avg): 1.9506 | Real Acc: 68.75% | Fake Acc: 100.00% Time elapsed: 0.35 min Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 23.2443 | Dis Loss (Avg): 1.9453 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 23.1598 | Dis Loss (Avg): 1.9260 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.9576 | Dis Loss (Avg): 1.9588 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.9492 | Dis Loss (Avg): 2.0656 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 23.0011 | Dis Loss (Avg): 2.0450 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 23.0445 | Dis Loss (Avg): 2.0439 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.9753 | Dis Loss (Avg): 2.0696 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.8524 | Dis Loss (Avg): 2.0489 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.6868 | Dis Loss (Avg): 2.0284 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.6954 | Dis Loss (Avg): 2.0117 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.7766 | Dis Loss (Avg): 1.9916 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.7322 | Dis Loss (Avg): 2.0000 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.6004 | Dis Loss (Avg): 1.9900 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.5161 | Dis Loss (Avg): 1.9705 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.4321 | Dis Loss (Avg): 1.9508 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.3288 | Dis Loss (Avg): 1.9313 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.42 min Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 22.2128 | Dis Loss (Avg): 1.9119 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 22.0857 | Dis Loss (Avg): 1.8930 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.9439 | Dis Loss (Avg): 1.8741 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.7981 | Dis Loss (Avg): 1.8553 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.6717 | Dis Loss (Avg): 1.8371 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.5499 | Dis Loss (Avg): 1.8188 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.4215 | Dis Loss (Avg): 1.8006 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.2770 | Dis Loss (Avg): 1.7826 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.0897 | Dis Loss (Avg): 1.7737 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.0058 | Dis Loss (Avg): 1.7625 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 20.9884 | Dis Loss (Avg): 1.7450 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.1151 | Dis Loss (Avg): 1.7277 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.2717 | Dis Loss (Avg): 1.7104 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.8420 | Dis Loss (Avg): 1.6945 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 22.3301 | Dis Loss (Avg): 1.7455 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 22.4923 | Dis Loss (Avg): 1.9243 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.49 min Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.2852 | Dis Loss (Avg): 2.0357 | Real Acc: 93.75% | Fake Acc: 50.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.2189 | Dis Loss (Avg): 2.1012 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.2899 | Dis Loss (Avg): 2.0823 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.3363 | Dis Loss (Avg): 3.1036 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.2922 | Dis Loss (Avg): 3.1561 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.1235 | Dis Loss (Avg): 3.2971 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.1082 | Dis Loss (Avg): 3.2821 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.1163 | Dis Loss (Avg): 3.2493 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.0204 | Dis Loss (Avg): 3.2751 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.8382 | Dis Loss (Avg): 3.2423 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.6534 | Dis Loss (Avg): 3.2603 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.4524 | Dis Loss (Avg): 3.3508 | Real Acc: 87.50% | Fake Acc: 62.50% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.3499 | Dis Loss (Avg): 3.3949 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.2283 | Dis Loss (Avg): 3.3756 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.1516 | Dis Loss (Avg): 3.3428 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.0739 | Dis Loss (Avg): 3.3094 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.56 min Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.9685 | Dis Loss (Avg): 3.2763 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.8899 | Dis Loss (Avg): 3.2442 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.8148 | Dis Loss (Avg): 3.2117 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.6731 | Dis Loss (Avg): 3.2210 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.4664 | Dis Loss (Avg): 3.4173 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.4341 | Dis Loss (Avg): 3.4961 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.5136 | Dis Loss (Avg): 3.4611 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.4728 | Dis Loss (Avg): 3.5720 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.3512 | Dis Loss (Avg): 3.5362 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.2290 | Dis Loss (Avg): 3.5112 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.3061 | Dis Loss (Avg): 3.4790 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.3492 | Dis Loss (Avg): 3.7447 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.2519 | Dis Loss (Avg): 4.1634 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.2710 | Dis Loss (Avg): 4.1228 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.3200 | Dis Loss (Avg): 4.0816 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.2521 | Dis Loss (Avg): 4.0889 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.62 min Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 20.1075 | Dis Loss (Avg): 4.0481 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 20.0236 | Dis Loss (Avg): 4.0202 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.9553 | Dis Loss (Avg): 3.9801 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.7852 | Dis Loss (Avg): 3.9528 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.6428 | Dis Loss (Avg): 3.9297 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.4805 | Dis Loss (Avg): 3.9180 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.3724 | Dis Loss (Avg): 3.9557 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.3439 | Dis Loss (Avg): 3.9778 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.4398 | Dis Loss (Avg): 3.9421 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.5009 | Dis Loss (Avg): 3.9027 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.4011 | Dis Loss (Avg): 4.6708 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.2482 | Dis Loss (Avg): 4.6837 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.2265 | Dis Loss (Avg): 4.6798 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.2175 | Dis Loss (Avg): 4.7375 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.1524 | Dis Loss (Avg): 4.6997 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.3031 | Dis Loss (Avg): 4.6545 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.69 min Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 19.2942 | Dis Loss (Avg): 5.3117 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 19.1565 | Dis Loss (Avg): 5.2586 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.9649 | Dis Loss (Avg): 5.5791 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.7753 | Dis Loss (Avg): 5.7157 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.5875 | Dis Loss (Avg): 5.8496 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.5108 | Dis Loss (Avg): 5.8613 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.4193 | Dis Loss (Avg): 5.8203 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.3094 | Dis Loss (Avg): 5.7622 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.1351 | Dis Loss (Avg): 5.7505 | Real Acc: 93.75% | Fake Acc: 50.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.0256 | Dis Loss (Avg): 5.7197 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.8736 | Dis Loss (Avg): 5.6785 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.8129 | Dis Loss (Avg): 5.6334 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.8169 | Dis Loss (Avg): 5.5771 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.8211 | Dis Loss (Avg): 5.5214 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.6598 | Dis Loss (Avg): 5.5966 | Real Acc: 87.50% | Fake Acc: 62.50% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.5190 | Dis Loss (Avg): 5.6201 | Real Acc: 93.75% | Fake Acc: 75.00% Time elapsed: 0.76 min Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.5958 | Dis Loss (Avg): 5.5807 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.5387 | Dis Loss (Avg): 6.4501 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.5774 | Dis Loss (Avg): 6.3864 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.4357 | Dis Loss (Avg): 6.9427 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.2614 | Dis Loss (Avg): 7.2510 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.0888 | Dis Loss (Avg): 7.3081 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.9863 | Dis Loss (Avg): 7.2848 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.9193 | Dis Loss (Avg): 7.2120 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.8226 | Dis Loss (Avg): 7.8304 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.6883 | Dis Loss (Avg): 7.7576 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.5947 | Dis Loss (Avg): 7.6878 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.4522 | Dis Loss (Avg): 7.7739 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.3293 | Dis Loss (Avg): 7.7128 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.2502 | Dis Loss (Avg): 7.6406 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.1532 | Dis Loss (Avg): 7.7347 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.0039 | Dis Loss (Avg): 7.6837 | Real Acc: 93.75% | Fake Acc: 75.00% Time elapsed: 0.83 min Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.8621 | Dis Loss (Avg): 7.6334 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.7726 | Dis Loss (Avg): 7.5850 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.6672 | Dis Loss (Avg): 8.2867 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.5120 | Dis Loss (Avg): 8.3001 | Real Acc: 93.75% | Fake Acc: 6.25% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.3673 | Dis Loss (Avg): 8.2820 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.3322 | Dis Loss (Avg): 8.2283 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.3144 | Dis Loss (Avg): 8.1460 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.1839 | Dis Loss (Avg): 8.6831 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.0321 | Dis Loss (Avg): 9.2966 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.8819 | Dis Loss (Avg): 9.2909 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.7335 | Dis Loss (Avg): 9.2690 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.6424 | Dis Loss (Avg): 9.1930 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.5829 | Dis Loss (Avg): 9.1011 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.5167 | Dis Loss (Avg): 9.0101 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.4445 | Dis Loss (Avg): 8.9203 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.3058 | Dis Loss (Avg): 8.9651 | Real Acc: 93.75% | Fake Acc: 37.50% Time elapsed: 0.90 min Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 14.1661 | Dis Loss (Avg): 8.9327 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 14.0597 | Dis Loss (Avg): 8.8889 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.9619 | Dis Loss (Avg): 8.9293 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.8271 | Dis Loss (Avg): 8.9030 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.7466 | Dis Loss (Avg): 8.8516 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.8124 | Dis Loss (Avg): 8.7635 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.8258 | Dis Loss (Avg): 11.0941 | Real Acc: 25.00% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.7047 | Dis Loss (Avg): 11.5114 | Real Acc: 68.75% | Fake Acc: 87.50% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.5677 | Dis Loss (Avg): 11.4327 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.4321 | Dis Loss (Avg): 11.3647 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.3288 | Dis Loss (Avg): 11.2828 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.3121 | Dis Loss (Avg): 11.1712 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.2682 | Dis Loss (Avg): 12.1527 | Real Acc: 31.25% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.1677 | Dis Loss (Avg): 12.4814 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.0862 | Dis Loss (Avg): 12.3580 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.0119 | Dis Loss (Avg): 12.2345 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.96 min Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.9408 | Dis Loss (Avg): 12.1122 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.8501 | Dis Loss (Avg): 12.1298 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.7589 | Dis Loss (Avg): 12.0091 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.6363 | Dis Loss (Avg): 11.9713 | Real Acc: 93.75% | Fake Acc: 18.75% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.5274 | Dis Loss (Avg): 11.9081 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.4037 | Dis Loss (Avg): 11.8209 | Real Acc: 87.50% | Fake Acc: 6.25% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.2818 | Dis Loss (Avg): 11.7531 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.1988 | Dis Loss (Avg): 11.6507 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.1145 | Dis Loss (Avg): 11.7499 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.9976 | Dis Loss (Avg): 12.0609 | Real Acc: 50.00% | Fake Acc: 0.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.9012 | Dis Loss (Avg): 11.9578 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.7969 | Dis Loss (Avg): 11.8606 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.7256 | Dis Loss (Avg): 11.7456 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.6392 | Dis Loss (Avg): 11.9970 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.5274 | Dis Loss (Avg): 12.0080 | Real Acc: 62.50% | Fake Acc: 6.25% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.4386 | Dis Loss (Avg): 11.8980 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.03 min Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 11.3830 | Dis Loss (Avg): 11.7801 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 11.3119 | Dis Loss (Avg): 11.6721 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 11.2001 | Dis Loss (Avg): 11.5570 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 11.0881 | Dis Loss (Avg): 11.4987 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.9884 | Dis Loss (Avg): 11.4352 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.8935 | Dis Loss (Avg): 11.4149 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.8349 | Dis Loss (Avg): 11.3096 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.7580 | Dis Loss (Avg): 11.4831 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.6505 | Dis Loss (Avg): 11.3879 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.5462 | Dis Loss (Avg): 11.3068 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.4803 | Dis Loss (Avg): 11.2142 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.4655 | Dis Loss (Avg): 11.1029 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.4139 | Dis Loss (Avg): 11.3493 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.3218 | Dis Loss (Avg): 11.3124 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.2538 | Dis Loss (Avg): 11.2056 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.1558 | Dis Loss (Avg): 11.1111 | Real Acc: 93.75% | Fake Acc: 18.75% Time elapsed: 1.10 min Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 10.0677 | Dis Loss (Avg): 11.0235 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 10.0009 | Dis Loss (Avg): 10.9255 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.9165 | Dis Loss (Avg): 10.9042 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.8275 | Dis Loss (Avg): 10.8388 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.7329 | Dis Loss (Avg): 10.7668 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.6662 | Dis Loss (Avg): 10.6961 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.5699 | Dis Loss (Avg): 10.5909 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.5162 | Dis Loss (Avg): 10.5123 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.4395 | Dis Loss (Avg): 10.4112 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.3458 | Dis Loss (Avg): 10.3439 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.2726 | Dis Loss (Avg): 10.2633 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.2570 | Dis Loss (Avg): 10.1663 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.2397 | Dis Loss (Avg): 10.1538 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.1673 | Dis Loss (Avg): 10.5077 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.0761 | Dis Loss (Avg): 10.4231 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.0042 | Dis Loss (Avg): 10.3401 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.16 min Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.9828 | Dis Loss (Avg): 10.2393 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.9350 | Dis Loss (Avg): 10.2263 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.8487 | Dis Loss (Avg): 10.1825 | Real Acc: 93.75% | Fake Acc: 6.25% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.7759 | Dis Loss (Avg): 10.1186 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.7373 | Dis Loss (Avg): 10.0254 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.6833 | Dis Loss (Avg): 10.1420 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.6202 | Dis Loss (Avg): 10.0418 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.5946 | Dis Loss (Avg): 9.9446 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.5304 | Dis Loss (Avg): 9.8890 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.5019 | Dis Loss (Avg): 9.7934 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.4345 | Dis Loss (Avg): 9.9743 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.3509 | Dis Loss (Avg): 9.9111 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.2821 | Dis Loss (Avg): 9.8289 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.2540 | Dis Loss (Avg): 9.7333 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.1986 | Dis Loss (Avg): 9.8375 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.1171 | Dis Loss (Avg): 9.7516 | Real Acc: 93.75% | Fake Acc: 0.00% Time elapsed: 1.23 min Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 8.0359 | Dis Loss (Avg): 9.6835 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.9596 | Dis Loss (Avg): 9.6193 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.9171 | Dis Loss (Avg): 9.5323 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.8571 | Dis Loss (Avg): 9.5639 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.7845 | Dis Loss (Avg): 9.5242 | Real Acc: 75.00% | Fake Acc: 25.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.7233 | Dis Loss (Avg): 9.4348 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.6561 | Dis Loss (Avg): 9.3522 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.6045 | Dis Loss (Avg): 9.2625 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.5421 | Dis Loss (Avg): 9.1844 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.4958 | Dis Loss (Avg): 9.0990 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.4394 | Dis Loss (Avg): 9.0087 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.4127 | Dis Loss (Avg): 8.9216 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.3524 | Dis Loss (Avg): 9.0443 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.3041 | Dis Loss (Avg): 8.9588 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.2385 | Dis Loss (Avg): 8.9004 | Real Acc: 81.25% | Fake Acc: 68.75% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.1837 | Dis Loss (Avg): 8.8178 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.30 min Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 7.1613 | Dis Loss (Avg): 8.7328 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 7.1280 | Dis Loss (Avg): 8.7463 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 7.1028 | Dis Loss (Avg): 8.6596 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 7.0455 | Dis Loss (Avg): 8.6842 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.9751 | Dis Loss (Avg): 8.6357 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.9064 | Dis Loss (Avg): 8.5805 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.8600 | Dis Loss (Avg): 8.5132 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.8061 | Dis Loss (Avg): 8.4310 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.7810 | Dis Loss (Avg): 8.3486 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.7802 | Dis Loss (Avg): 8.2655 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.7559 | Dis Loss (Avg): 8.7581 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.7000 | Dis Loss (Avg): 8.8312 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.6608 | Dis Loss (Avg): 8.7482 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.6388 | Dis Loss (Avg): 8.6614 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:34:57,088] Trial 3 finished with value: 8.64641719928837 and parameters: {'latent_dim': 175, 'lr_gen': 6.0500688804195905e-05, 'lr_discr': 0.0047275412738452946, 'batch_size': 53, 'num_epochs': 20}. Best is trial 0 with value: 0.5359116051540715.
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.5940 | Dis Loss (Avg): 8.7160 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.5331 | Dis Loss (Avg): 8.6464 | Real Acc: 93.75% | Fake Acc: 6.25% Time elapsed: 1.36 min Total Training Time: 1.36 min Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0077 | Dis Loss (Avg): 0.0069 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0137 | Dis Loss (Avg): 0.0195 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0196 | Dis Loss (Avg): 0.0299 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0285 | Dis Loss (Avg): 0.0402 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0500 | Dis Loss (Avg): 0.0457 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0602 | Dis Loss (Avg): 0.0735 | Real Acc: 50.00% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0608 | Dis Loss (Avg): 0.1085 | Real Acc: 6.25% | Fake Acc: 0.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0622 | Dis Loss (Avg): 0.1279 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0758 | Dis Loss (Avg): 0.1403 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1077 | Dis Loss (Avg): 0.1420 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1278 | Dis Loss (Avg): 0.1428 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1346 | Dis Loss (Avg): 0.1455 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1393 | Dis Loss (Avg): 0.1487 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1452 | Dis Loss (Avg): 0.1515 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1527 | Dis Loss (Avg): 0.1534 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1618 | Dis Loss (Avg): 0.1546 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.07 min Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.1728 | Dis Loss (Avg): 0.1553 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.1851 | Dis Loss (Avg): 0.1556 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.1975 | Dis Loss (Avg): 0.1559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2073 | Dis Loss (Avg): 0.1567 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2126 | Dis Loss (Avg): 0.1592 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2161 | Dis Loss (Avg): 0.1630 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2201 | Dis Loss (Avg): 0.1684 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2263 | Dis Loss (Avg): 0.1726 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2323 | Dis Loss (Avg): 0.1752 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2410 | Dis Loss (Avg): 0.1768 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2521 | Dis Loss (Avg): 0.1776 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2592 | Dis Loss (Avg): 0.1790 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2627 | Dis Loss (Avg): 0.1824 | Real Acc: 100.00% | Fake Acc: 6.25% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2651 | Dis Loss (Avg): 0.1880 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2725 | Dis Loss (Avg): 0.1916 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2783 | Dis Loss (Avg): 0.2106 | Real Acc: 43.75% | Fake Acc: 100.00% Time elapsed: 0.13 min Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.2845 | Dis Loss (Avg): 0.2126 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.2872 | Dis Loss (Avg): 0.2150 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.2920 | Dis Loss (Avg): 0.2172 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.2996 | Dis Loss (Avg): 0.2191 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3028 | Dis Loss (Avg): 0.2210 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3065 | Dis Loss (Avg): 0.2240 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3139 | Dis Loss (Avg): 0.2260 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3169 | Dis Loss (Avg): 0.2319 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3208 | Dis Loss (Avg): 0.2343 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3260 | Dis Loss (Avg): 0.2361 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3308 | Dis Loss (Avg): 0.2372 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3371 | Dis Loss (Avg): 0.2385 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3376 | Dis Loss (Avg): 0.2404 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3391 | Dis Loss (Avg): 0.2453 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3458 | Dis Loss (Avg): 0.2478 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3494 | Dis Loss (Avg): 0.2555 | Real Acc: 50.00% | Fake Acc: 68.75% Time elapsed: 0.20 min Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3528 | Dis Loss (Avg): 0.2569 | Real Acc: 100.00% | Fake Acc: 31.25% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3576 | Dis Loss (Avg): 0.2580 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3607 | Dis Loss (Avg): 0.2594 | Real Acc: 93.75% | Fake Acc: 18.75% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3642 | Dis Loss (Avg): 0.2612 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3692 | Dis Loss (Avg): 0.2628 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3712 | Dis Loss (Avg): 0.2650 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3769 | Dis Loss (Avg): 0.2671 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3785 | Dis Loss (Avg): 0.2685 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3821 | Dis Loss (Avg): 0.2710 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3849 | Dis Loss (Avg): 0.2724 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3886 | Dis Loss (Avg): 0.2738 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3927 | Dis Loss (Avg): 0.2747 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.4007 | Dis Loss (Avg): 0.2754 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.4015 | Dis Loss (Avg): 0.2772 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.4039 | Dis Loss (Avg): 0.2803 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.4126 | Dis Loss (Avg): 0.2820 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.27 min Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4169 | Dis Loss (Avg): 0.2950 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4172 | Dis Loss (Avg): 0.2999 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4204 | Dis Loss (Avg): 0.3024 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4268 | Dis Loss (Avg): 0.3031 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4282 | Dis Loss (Avg): 0.3061 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4305 | Dis Loss (Avg): 0.3074 | Real Acc: 100.00% | Fake Acc: 25.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4341 | Dis Loss (Avg): 0.3087 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4340 | Dis Loss (Avg): 0.3099 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4349 | Dis Loss (Avg): 0.3126 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4393 | Dis Loss (Avg): 0.3141 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4410 | Dis Loss (Avg): 0.3164 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4436 | Dis Loss (Avg): 0.3175 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4469 | Dis Loss (Avg): 0.3181 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4469 | Dis Loss (Avg): 0.3188 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4486 | Dis Loss (Avg): 0.3211 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4535 | Dis Loss (Avg): 0.3219 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.33 min Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4547 | Dis Loss (Avg): 0.3241 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4577 | Dis Loss (Avg): 0.3253 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4596 | Dis Loss (Avg): 0.3257 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4629 | Dis Loss (Avg): 0.3265 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4689 | Dis Loss (Avg): 0.3264 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4694 | Dis Loss (Avg): 0.3269 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4714 | Dis Loss (Avg): 0.3290 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4755 | Dis Loss (Avg): 0.3299 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4767 | Dis Loss (Avg): 0.3302 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4816 | Dis Loss (Avg): 0.3313 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4825 | Dis Loss (Avg): 0.3314 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4874 | Dis Loss (Avg): 0.3334 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4886 | Dis Loss (Avg): 0.3362 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4927 | Dis Loss (Avg): 0.3373 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:35:21,755] Trial 4 finished with value: 0.33912804189778406 and parameters: {'latent_dim': 189, 'lr_gen': 0.001221490964348859, 'lr_discr': 0.0003257527184873621, 'batch_size': 49, 'num_epochs': 6}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4933 | Dis Loss (Avg): 0.3377 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4963 | Dis Loss (Avg): 0.3391 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.40 min Total Training Time: 0.40 min Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0090 | Dis Loss (Avg): 0.0070 | Real Acc: 37.50% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0198 | Dis Loss (Avg): 0.0173 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0334 | Dis Loss (Avg): 0.0255 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0517 | Dis Loss (Avg): 0.0272 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0739 | Dis Loss (Avg): 0.0284 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0880 | Dis Loss (Avg): 0.0299 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0992 | Dis Loss (Avg): 0.0376 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1149 | Dis Loss (Avg): 0.0454 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1222 | Dis Loss (Avg): 0.0534 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1342 | Dis Loss (Avg): 0.0608 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1515 | Dis Loss (Avg): 0.0645 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1730 | Dis Loss (Avg): 0.0664 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1946 | Dis Loss (Avg): 0.0680 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.2136 | Dis Loss (Avg): 0.0703 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.2165 | Dis Loss (Avg): 0.0916 | Real Acc: 50.00% | Fake Acc: 0.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.2202 | Dis Loss (Avg): 0.0995 | Real Acc: 100.00% | Fake Acc: 0.00% Time elapsed: 0.07 min Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.2312 | Dis Loss (Avg): 0.1038 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.2423 | Dis Loss (Avg): 0.1091 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.2577 | Dis Loss (Avg): 0.1099 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.2776 | Dis Loss (Avg): 0.1101 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.2992 | Dis Loss (Avg): 0.1100 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3178 | Dis Loss (Avg): 0.1104 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3185 | Dis Loss (Avg): 0.1170 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3207 | Dis Loss (Avg): 0.1235 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3298 | Dis Loss (Avg): 0.1269 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3428 | Dis Loss (Avg): 0.1281 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3465 | Dis Loss (Avg): 0.1333 | Real Acc: 56.25% | Fake Acc: 62.50% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3493 | Dis Loss (Avg): 0.1371 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3579 | Dis Loss (Avg): 0.1397 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3612 | Dis Loss (Avg): 0.1447 | Real Acc: 87.50% | Fake Acc: 37.50% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3652 | Dis Loss (Avg): 0.1482 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3742 | Dis Loss (Avg): 0.1506 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.13 min Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3795 | Dis Loss (Avg): 0.1734 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3855 | Dis Loss (Avg): 0.1750 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3868 | Dis Loss (Avg): 0.1771 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3890 | Dis Loss (Avg): 0.1809 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3941 | Dis Loss (Avg): 0.1836 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3970 | Dis Loss (Avg): 0.1871 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3975 | Dis Loss (Avg): 0.1900 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3998 | Dis Loss (Avg): 0.1935 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4057 | Dis Loss (Avg): 0.1958 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4079 | Dis Loss (Avg): 0.2010 | Real Acc: 62.50% | Fake Acc: 0.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4110 | Dis Loss (Avg): 0.2035 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4176 | Dis Loss (Avg): 0.2052 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4202 | Dis Loss (Avg): 0.2171 | Real Acc: 68.75% | Fake Acc: 12.50% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4252 | Dis Loss (Avg): 0.2190 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4287 | Dis Loss (Avg): 0.2204 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4355 | Dis Loss (Avg): 0.2221 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.20 min Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4357 | Dis Loss (Avg): 0.2249 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4380 | Dis Loss (Avg): 0.2278 | Real Acc: 100.00% | Fake Acc: 12.50% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4451 | Dis Loss (Avg): 0.2294 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4473 | Dis Loss (Avg): 0.2378 | Real Acc: 75.00% | Fake Acc: 25.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4501 | Dis Loss (Avg): 0.2398 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4560 | Dis Loss (Avg): 0.2415 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4564 | Dis Loss (Avg): 0.2517 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4580 | Dis Loss (Avg): 0.2543 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4623 | Dis Loss (Avg): 0.2562 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4637 | Dis Loss (Avg): 0.2733 | Real Acc: 37.50% | Fake Acc: 0.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4669 | Dis Loss (Avg): 0.2746 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4701 | Dis Loss (Avg): 0.2752 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4744 | Dis Loss (Avg): 0.2760 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4737 | Dis Loss (Avg): 0.2790 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4749 | Dis Loss (Avg): 0.2819 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4798 | Dis Loss (Avg): 0.2832 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.27 min Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4811 | Dis Loss (Avg): 0.2879 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4830 | Dis Loss (Avg): 0.2892 | Real Acc: 100.00% | Fake Acc: 6.25% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4872 | Dis Loss (Avg): 0.2899 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4889 | Dis Loss (Avg): 0.2949 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4912 | Dis Loss (Avg): 0.2959 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4947 | Dis Loss (Avg): 0.2966 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4949 | Dis Loss (Avg): 0.3008 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4961 | Dis Loss (Avg): 0.3024 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4995 | Dis Loss (Avg): 0.3033 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4997 | Dis Loss (Avg): 0.3048 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5010 | Dis Loss (Avg): 0.3063 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5052 | Dis Loss (Avg): 0.3072 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5054 | Dis Loss (Avg): 0.3101 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5069 | Dis Loss (Avg): 0.3117 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5102 | Dis Loss (Avg): 0.3124 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5108 | Dis Loss (Avg): 0.3166 | Real Acc: 68.75% | Fake Acc: 0.00% Time elapsed: 0.34 min Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5127 | Dis Loss (Avg): 0.3178 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5163 | Dis Loss (Avg): 0.3184 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5160 | Dis Loss (Avg): 0.3201 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5168 | Dis Loss (Avg): 0.3219 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5206 | Dis Loss (Avg): 0.3229 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5281 | Dis Loss (Avg): 0.3224 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5303 | Dis Loss (Avg): 0.3446 | Real Acc: 50.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5303 | Dis Loss (Avg): 0.3447 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5335 | Dis Loss (Avg): 0.3458 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5328 | Dis Loss (Avg): 0.3466 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5334 | Dis Loss (Avg): 0.3483 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5367 | Dis Loss (Avg): 0.3489 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5359 | Dis Loss (Avg): 0.3504 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5363 | Dis Loss (Avg): 0.3522 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5393 | Dis Loss (Avg): 0.3529 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5395 | Dis Loss (Avg): 0.3553 | Real Acc: 81.25% | Fake Acc: 0.00% Time elapsed: 0.41 min Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5404 | Dis Loss (Avg): 0.3562 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5433 | Dis Loss (Avg): 0.3566 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5493 | Dis Loss (Avg): 0.3559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5507 | Dis Loss (Avg): 0.3653 | Real Acc: 75.00% | Fake Acc: 25.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5520 | Dis Loss (Avg): 0.3655 | Real Acc: 100.00% | Fake Acc: 18.75% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5551 | Dis Loss (Avg): 0.3656 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5548 | Dis Loss (Avg): 0.3669 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5555 | Dis Loss (Avg): 0.3678 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5590 | Dis Loss (Avg): 0.3681 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5584 | Dis Loss (Avg): 0.3682 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5591 | Dis Loss (Avg): 0.3695 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5638 | Dis Loss (Avg): 0.3701 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5645 | Dis Loss (Avg): 0.3746 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5662 | Dis Loss (Avg): 0.3747 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5704 | Dis Loss (Avg): 0.3744 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5694 | Dis Loss (Avg): 0.3783 | Real Acc: 75.00% | Fake Acc: 0.00% Time elapsed: 0.47 min Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5699 | Dis Loss (Avg): 0.3796 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5741 | Dis Loss (Avg): 0.3799 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5807 | Dis Loss (Avg): 0.3789 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5797 | Dis Loss (Avg): 0.3880 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5820 | Dis Loss (Avg): 0.3894 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5892 | Dis Loss (Avg): 0.3886 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5901 | Dis Loss (Avg): 0.4012 | Real Acc: 56.25% | Fake Acc: 18.75% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5928 | Dis Loss (Avg): 0.4011 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5984 | Dis Loss (Avg): 0.4003 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5976 | Dis Loss (Avg): 0.4047 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5997 | Dis Loss (Avg): 0.4066 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.6034 | Dis Loss (Avg): 0.4060 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.6030 | Dis Loss (Avg): 0.4088 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.6040 | Dis Loss (Avg): 0.4090 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.6078 | Dis Loss (Avg): 0.4084 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.6075 | Dis Loss (Avg): 0.4102 | Real Acc: 68.75% | Fake Acc: 0.00% Time elapsed: 0.54 min Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6082 | Dis Loss (Avg): 0.4105 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6117 | Dis Loss (Avg): 0.4101 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6136 | Dis Loss (Avg): 0.4090 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6124 | Dis Loss (Avg): 0.4093 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6122 | Dis Loss (Avg): 0.4101 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6153 | Dis Loss (Avg): 0.4102 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6147 | Dis Loss (Avg): 0.4106 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6152 | Dis Loss (Avg): 0.4110 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6182 | Dis Loss (Avg): 0.4106 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6181 | Dis Loss (Avg): 0.4120 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6189 | Dis Loss (Avg): 0.4119 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6212 | Dis Loss (Avg): 0.4114 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6217 | Dis Loss (Avg): 0.4106 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6239 | Dis Loss (Avg): 0.4104 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6250 | Dis Loss (Avg): 0.4097 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6306 | Dis Loss (Avg): 0.4091 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.60 min Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6294 | Dis Loss (Avg): 0.4082 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6330 | Dis Loss (Avg): 0.4102 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6326 | Dis Loss (Avg): 0.4137 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6366 | Dis Loss (Avg): 0.4142 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6361 | Dis Loss (Avg): 0.4137 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6397 | Dis Loss (Avg): 0.4154 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6483 | Dis Loss (Avg): 0.4139 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6481 | Dis Loss (Avg): 0.4143 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6433 | Dis Loss (Avg): 0.4167 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6410 | Dis Loss (Avg): 0.4228 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6469 | Dis Loss (Avg): 0.4244 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6506 | Dis Loss (Avg): 0.4229 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6532 | Dis Loss (Avg): 0.4248 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6503 | Dis Loss (Avg): 0.4247 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6518 | Dis Loss (Avg): 0.4272 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:36:02,681] Trial 5 finished with value: 0.426223971153298 and parameters: {'latent_dim': 109, 'lr_gen': 0.00057384907576986, 'lr_discr': 0.0004791507469445179, 'batch_size': 62, 'num_epochs': 10}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6626 | Dis Loss (Avg): 0.4262 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.67 min Total Training Time: 0.67 min Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0098 | Dis Loss (Avg): 0.0070 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0223 | Dis Loss (Avg): 0.0297 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0607 | Dis Loss (Avg): 0.0312 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1209 | Dis Loss (Avg): 0.0310 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1947 | Dis Loss (Avg): 0.0307 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.2761 | Dis Loss (Avg): 0.0304 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.3607 | Dis Loss (Avg): 0.0301 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.4465 | Dis Loss (Avg): 0.0298 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.5321 | Dis Loss (Avg): 0.0295 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.6154 | Dis Loss (Avg): 0.0292 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.6975 | Dis Loss (Avg): 0.0289 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.7781 | Dis Loss (Avg): 0.0286 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.8457 | Dis Loss (Avg): 0.0284 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.9099 | Dis Loss (Avg): 0.0686 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.9727 | Dis Loss (Avg): 0.0679 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 1.0345 | Dis Loss (Avg): 0.0672 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.07 min Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.0959 | Dis Loss (Avg): 0.0665 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.1566 | Dis Loss (Avg): 0.0659 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.2172 | Dis Loss (Avg): 0.0652 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.2768 | Dis Loss (Avg): 0.0646 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.3360 | Dis Loss (Avg): 0.0639 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.3933 | Dis Loss (Avg): 0.0633 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.4494 | Dis Loss (Avg): 0.0627 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.5051 | Dis Loss (Avg): 0.0621 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.5605 | Dis Loss (Avg): 0.0614 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.6155 | Dis Loss (Avg): 0.0608 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.6704 | Dis Loss (Avg): 0.0602 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.7252 | Dis Loss (Avg): 0.0596 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.7793 | Dis Loss (Avg): 0.0590 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.8327 | Dis Loss (Avg): 0.0585 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.8856 | Dis Loss (Avg): 0.0579 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.9376 | Dis Loss (Avg): 0.0573 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.13 min Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 1.9887 | Dis Loss (Avg): 0.0567 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.0386 | Dis Loss (Avg): 0.0562 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.0873 | Dis Loss (Avg): 0.0556 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.1348 | Dis Loss (Avg): 0.0551 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.1821 | Dis Loss (Avg): 0.0545 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.2308 | Dis Loss (Avg): 0.0540 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.2789 | Dis Loss (Avg): 0.0535 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.3280 | Dis Loss (Avg): 0.0529 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.3779 | Dis Loss (Avg): 0.0524 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.4275 | Dis Loss (Avg): 0.0519 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.4784 | Dis Loss (Avg): 0.0514 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.5284 | Dis Loss (Avg): 0.0509 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.5791 | Dis Loss (Avg): 0.0504 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.6301 | Dis Loss (Avg): 0.0499 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.6797 | Dis Loss (Avg): 0.0494 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.7304 | Dis Loss (Avg): 0.0489 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.20 min Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 2.7814 | Dis Loss (Avg): 0.0484 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 2.8323 | Dis Loss (Avg): 0.0479 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 2.8848 | Dis Loss (Avg): 0.0474 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 2.9400 | Dis Loss (Avg): 0.0470 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 2.9923 | Dis Loss (Avg): 0.0465 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.0453 | Dis Loss (Avg): 0.0460 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.0968 | Dis Loss (Avg): 0.0456 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.1490 | Dis Loss (Avg): 0.0451 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.2036 | Dis Loss (Avg): 0.0447 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.2562 | Dis Loss (Avg): 0.0442 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.3111 | Dis Loss (Avg): 0.0438 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.3648 | Dis Loss (Avg): 0.0434 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.4186 | Dis Loss (Avg): 0.0429 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.4725 | Dis Loss (Avg): 0.0425 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.5303 | Dis Loss (Avg): 0.0421 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.5814 | Dis Loss (Avg): 0.0417 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.26 min Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.6353 | Dis Loss (Avg): 0.0413 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.6928 | Dis Loss (Avg): 0.0408 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.7458 | Dis Loss (Avg): 0.0404 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.8022 | Dis Loss (Avg): 0.0400 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.8570 | Dis Loss (Avg): 0.0396 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.9168 | Dis Loss (Avg): 0.0392 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.9730 | Dis Loss (Avg): 0.0388 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.0275 | Dis Loss (Avg): 0.0385 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.0780 | Dis Loss (Avg): 0.0381 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.1380 | Dis Loss (Avg): 0.0377 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.1962 | Dis Loss (Avg): 0.0373 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.2530 | Dis Loss (Avg): 0.0370 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.3072 | Dis Loss (Avg): 0.0366 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.3937 | Dis Loss (Avg): 0.0362 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.4946 | Dis Loss (Avg): 0.0359 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.6048 | Dis Loss (Avg): 0.0355 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.33 min Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 4.7079 | Dis Loss (Avg): 0.0352 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 4.8146 | Dis Loss (Avg): 0.0348 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 4.9178 | Dis Loss (Avg): 0.0345 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.0040 | Dis Loss (Avg): 0.0341 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.0863 | Dis Loss (Avg): 0.0338 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.1692 | Dis Loss (Avg): 0.0334 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.2384 | Dis Loss (Avg): 0.0331 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.2991 | Dis Loss (Avg): 0.0328 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.3499 | Dis Loss (Avg): 0.0324 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.4004 | Dis Loss (Avg): 0.0321 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.4462 | Dis Loss (Avg): 0.0318 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.4926 | Dis Loss (Avg): 0.0315 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.5442 | Dis Loss (Avg): 0.0312 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.6020 | Dis Loss (Avg): 0.0309 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.6634 | Dis Loss (Avg): 0.0306 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.7229 | Dis Loss (Avg): 0.0302 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.40 min Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 5.7816 | Dis Loss (Avg): 0.0299 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 5.8382 | Dis Loss (Avg): 0.0296 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 5.8851 | Dis Loss (Avg): 0.0293 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 5.9382 | Dis Loss (Avg): 0.0291 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 5.9948 | Dis Loss (Avg): 0.0288 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.0583 | Dis Loss (Avg): 0.0285 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.1278 | Dis Loss (Avg): 0.0282 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.1901 | Dis Loss (Avg): 0.0279 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.2495 | Dis Loss (Avg): 0.0276 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.3046 | Dis Loss (Avg): 0.0274 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.3487 | Dis Loss (Avg): 0.0271 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.4025 | Dis Loss (Avg): 0.0268 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.4511 | Dis Loss (Avg): 0.0265 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.5229 | Dis Loss (Avg): 0.0263 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.5987 | Dis Loss (Avg): 0.0260 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.6842 | Dis Loss (Avg): 0.0258 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.46 min Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 6.7611 | Dis Loss (Avg): 0.0255 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 6.8228 | Dis Loss (Avg): 0.0253 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 6.8855 | Dis Loss (Avg): 0.0250 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 6.9429 | Dis Loss (Avg): 0.0248 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 6.9932 | Dis Loss (Avg): 0.0245 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.0499 | Dis Loss (Avg): 0.0243 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.1110 | Dis Loss (Avg): 0.0240 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.1672 | Dis Loss (Avg): 0.0238 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.2382 | Dis Loss (Avg): 0.0235 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.3043 | Dis Loss (Avg): 0.0233 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.3680 | Dis Loss (Avg): 0.0231 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.4288 | Dis Loss (Avg): 0.0228 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.4812 | Dis Loss (Avg): 0.0226 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.5307 | Dis Loss (Avg): 0.0224 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.5756 | Dis Loss (Avg): 0.0222 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.6416 | Dis Loss (Avg): 0.0219 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.53 min Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.7174 | Dis Loss (Avg): 0.0217 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.7948 | Dis Loss (Avg): 0.0215 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.8584 | Dis Loss (Avg): 0.0213 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9245 | Dis Loss (Avg): 0.0211 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9819 | Dis Loss (Avg): 0.0209 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9076 | Dis Loss (Avg): 0.0246 | Real Acc: 93.75% | Fake Acc: 18.75% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 8.0414 | Dis Loss (Avg): 0.1763 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9612 | Dis Loss (Avg): 0.5880 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 8.0319 | Dis Loss (Avg): 0.6216 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 8.0185 | Dis Loss (Avg): 0.6537 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9626 | Dis Loss (Avg): 0.6472 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 8.0165 | Dis Loss (Avg): 0.6438 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 8.0534 | Dis Loss (Avg): 0.6381 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9728 | Dis Loss (Avg): 0.6517 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9105 | Dis Loss (Avg): 0.7237 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9546 | Dis Loss (Avg): 0.7192 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.60 min Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9893 | Dis Loss (Avg): 0.7304 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 8.0150 | Dis Loss (Avg): 0.7231 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 8.0309 | Dis Loss (Avg): 0.7158 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 8.0349 | Dis Loss (Avg): 0.7087 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 8.0261 | Dis Loss (Avg): 0.7016 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 8.0065 | Dis Loss (Avg): 0.6946 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9888 | Dis Loss (Avg): 0.6877 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9781 | Dis Loss (Avg): 0.6809 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9717 | Dis Loss (Avg): 0.6742 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9773 | Dis Loss (Avg): 0.6675 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9826 | Dis Loss (Avg): 0.6608 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9253 | Dis Loss (Avg): 0.6669 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9448 | Dis Loss (Avg): 0.6639 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9264 | Dis Loss (Avg): 0.6843 | Real Acc: 87.50% | Fake Acc: 100.00%
[I 2025-01-13 12:36:43,228] Trial 6 finished with value: 0.6733400050371819 and parameters: {'latent_dim': 112, 'lr_gen': 2.052075786914411e-05, 'lr_discr': 0.001553937974261388, 'batch_size': 51, 'num_epochs': 10}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.8760 | Dis Loss (Avg): 0.6775 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9057 | Dis Loss (Avg): 0.6733 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.67 min Total Training Time: 0.67 min Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.0038 | Dis Loss (Avg): 0.0069 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.1493 | Dis Loss (Avg): 0.0135 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.3786 | Dis Loss (Avg): 0.0134 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.5905 | Dis Loss (Avg): 0.0265 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.7878 | Dis Loss (Avg): 0.0263 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.9682 | Dis Loss (Avg): 0.0260 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 1.1663 | Dis Loss (Avg): 0.2311 | Real Acc: 50.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 1.3687 | Dis Loss (Avg): 0.2288 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 1.5691 | Dis Loss (Avg): 0.2265 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 1.7619 | Dis Loss (Avg): 0.2243 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 1.9439 | Dis Loss (Avg): 0.2220 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 2.1132 | Dis Loss (Avg): 0.2198 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 2.2697 | Dis Loss (Avg): 0.2176 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 2.4131 | Dis Loss (Avg): 0.2154 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 2.5427 | Dis Loss (Avg): 0.2133 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 2.6608 | Dis Loss (Avg): 0.2111 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.07 min Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 2.7655 | Dis Loss (Avg): 0.2090 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 2.8550 | Dis Loss (Avg): 0.2069 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 2.9288 | Dis Loss (Avg): 0.2049 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 2.9877 | Dis Loss (Avg): 0.2263 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.0302 | Dis Loss (Avg): 0.2241 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.0951 | Dis Loss (Avg): 0.2219 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.1594 | Dis Loss (Avg): 0.2197 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.2276 | Dis Loss (Avg): 0.2176 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.2809 | Dis Loss (Avg): 0.2175 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.6544 | Dis Loss (Avg): 0.2172 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 4.1715 | Dis Loss (Avg): 0.2150 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 4.7358 | Dis Loss (Avg): 0.2129 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 5.2108 | Dis Loss (Avg): 0.2350 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 5.6109 | Dis Loss (Avg): 0.2327 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 5.8870 | Dis Loss (Avg): 0.2965 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 6.0849 | Dis Loss (Avg): 0.2935 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.13 min Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.2272 | Dis Loss (Avg): 0.2906 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.3287 | Dis Loss (Avg): 0.2877 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.3760 | Dis Loss (Avg): 0.2848 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.4245 | Dis Loss (Avg): 0.2820 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.5589 | Dis Loss (Avg): 0.2793 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.7120 | Dis Loss (Avg): 0.2765 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.8653 | Dis Loss (Avg): 0.2738 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.9747 | Dis Loss (Avg): 0.2710 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 7.0408 | Dis Loss (Avg): 0.2683 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 7.3434 | Dis Loss (Avg): 0.2665 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 7.7184 | Dis Loss (Avg): 0.2639 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 8.1110 | Dis Loss (Avg): 0.2612 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 8.2944 | Dis Loss (Avg): 0.2633 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 8.3447 | Dis Loss (Avg): 0.2607 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 8.7737 | Dis Loss (Avg): 0.2777 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 9.3155 | Dis Loss (Avg): 0.2749 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.20 min Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 9.6651 | Dis Loss (Avg): 0.4423 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 9.8775 | Dis Loss (Avg): 0.4379 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 9.9728 | Dis Loss (Avg): 0.4335 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 9.9716 | Dis Loss (Avg): 0.4292 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.3161 | Dis Loss (Avg): 0.4542 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5448 | Dis Loss (Avg): 0.7520 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5154 | Dis Loss (Avg): 0.8096 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5321 | Dis Loss (Avg): 0.8073 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5438 | Dis Loss (Avg): 0.7992 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5252 | Dis Loss (Avg): 0.7913 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.6019 | Dis Loss (Avg): 0.7920 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.6248 | Dis Loss (Avg): 0.8621 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5187 | Dis Loss (Avg): 0.9038 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.4755 | Dis Loss (Avg): 0.9310 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.4617 | Dis Loss (Avg): 0.9218 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.4354 | Dis Loss (Avg): 0.9247 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.27 min Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.4024 | Dis Loss (Avg): 0.9155 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.3013 | Dis Loss (Avg): 0.9135 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.2317 | Dis Loss (Avg): 0.9278 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.2301 | Dis Loss (Avg): 0.9207 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.2089 | Dis Loss (Avg): 1.1121 | Real Acc: 50.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.1277 | Dis Loss (Avg): 1.1432 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.0937 | Dis Loss (Avg): 1.1368 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.0406 | Dis Loss (Avg): 1.1326 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.9413 | Dis Loss (Avg): 1.1231 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.8789 | Dis Loss (Avg): 1.1291 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.7990 | Dis Loss (Avg): 1.1438 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.7468 | Dis Loss (Avg): 1.1360 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.6863 | Dis Loss (Avg): 1.1270 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.6325 | Dis Loss (Avg): 1.1165 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.6246 | Dis Loss (Avg): 1.1066 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.5724 | Dis Loss (Avg): 1.6672 | Real Acc: 50.00% | Fake Acc: 100.00% Time elapsed: 0.34 min Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.4767 | Dis Loss (Avg): 1.6629 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.3828 | Dis Loss (Avg): 1.6827 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.3024 | Dis Loss (Avg): 1.6836 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.2857 | Dis Loss (Avg): 1.6698 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.2398 | Dis Loss (Avg): 1.7479 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.1895 | Dis Loss (Avg): 1.7307 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.0978 | Dis Loss (Avg): 1.8057 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.0094 | Dis Loss (Avg): 1.8130 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.9573 | Dis Loss (Avg): 1.8055 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.9373 | Dis Loss (Avg): 1.7877 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.8758 | Dis Loss (Avg): 1.8126 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.8243 | Dis Loss (Avg): 1.7970 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.7945 | Dis Loss (Avg): 1.7797 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.7723 | Dis Loss (Avg): 1.7620 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.6964 | Dis Loss (Avg): 1.8130 | Real Acc: 81.25% | Fake Acc: 81.25% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.6103 | Dis Loss (Avg): 1.8162 | Real Acc: 93.75% | Fake Acc: 0.00% Time elapsed: 0.40 min Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.5408 | Dis Loss (Avg): 1.8237 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.5122 | Dis Loss (Avg): 1.8112 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.4670 | Dis Loss (Avg): 1.8228 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.3916 | Dis Loss (Avg): 1.8254 | Real Acc: 93.75% | Fake Acc: 75.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.3079 | Dis Loss (Avg): 1.8334 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.2353 | Dis Loss (Avg): 1.8427 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.1783 | Dis Loss (Avg): 1.8292 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.1008 | Dis Loss (Avg): 1.8265 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.0202 | Dis Loss (Avg): 1.8381 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.9475 | Dis Loss (Avg): 1.8381 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.9023 | Dis Loss (Avg): 1.8249 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.8386 | Dis Loss (Avg): 1.9012 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.7679 | Dis Loss (Avg): 1.8927 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.6939 | Dis Loss (Avg): 1.8868 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.6352 | Dis Loss (Avg): 1.8753 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.5625 | Dis Loss (Avg): 1.8774 | Real Acc: 68.75% | Fake Acc: 6.25% Time elapsed: 0.47 min Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.4961 | Dis Loss (Avg): 1.8675 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.4600 | Dis Loss (Avg): 1.8537 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.3985 | Dis Loss (Avg): 1.8662 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.3316 | Dis Loss (Avg): 1.8549 | Real Acc: 93.75% | Fake Acc: 56.25% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.2800 | Dis Loss (Avg): 1.8435 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.2229 | Dis Loss (Avg): 1.8271 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.1560 | Dis Loss (Avg): 1.9066 | Real Acc: 75.00% | Fake Acc: 12.50% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.0874 | Dis Loss (Avg): 1.9017 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.0358 | Dis Loss (Avg): 1.8916 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.9745 | Dis Loss (Avg): 1.9770 | Real Acc: 43.75% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.9248 | Dis Loss (Avg): 1.9608 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.8637 | Dis Loss (Avg): 1.9917 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.8110 | Dis Loss (Avg): 1.9751 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.7488 | Dis Loss (Avg): 1.9810 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.6923 | Dis Loss (Avg): 1.9660 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.6301 | Dis Loss (Avg): 1.9490 | Real Acc: 93.75% | Fake Acc: 0.00% Time elapsed: 0.54 min Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.5744 | Dis Loss (Avg): 1.9357 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.5143 | Dis Loss (Avg): 1.9223 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.4596 | Dis Loss (Avg): 1.9076 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.4001 | Dis Loss (Avg): 1.8910 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.3473 | Dis Loss (Avg): 1.8775 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.3082 | Dis Loss (Avg): 1.8617 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.2609 | Dis Loss (Avg): 1.9742 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.2008 | Dis Loss (Avg): 2.0120 | Real Acc: 62.50% | Fake Acc: 0.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.1459 | Dis Loss (Avg): 2.0015 | Real Acc: 100.00% | Fake Acc: 62.50% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.0970 | Dis Loss (Avg): 1.9851 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.0457 | Dis Loss (Avg): 1.9780 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 5.9896 | Dis Loss (Avg): 1.9609 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 5.9416 | Dis Loss (Avg): 1.9475 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 5.8891 | Dis Loss (Avg): 1.9491 | Real Acc: 75.00% | Fake Acc: 68.75% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 5.8394 | Dis Loss (Avg): 1.9331 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 5.7875 | Dis Loss (Avg): 1.9165 | Real Acc: 100.00% | Fake Acc: 0.00% Time elapsed: 0.61 min Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.7390 | Dis Loss (Avg): 1.9012 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.6946 | Dis Loss (Avg): 1.8847 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.6562 | Dis Loss (Avg): 1.8675 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.6109 | Dis Loss (Avg): 1.8875 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.5612 | Dis Loss (Avg): 1.8715 | Real Acc: 93.75% | Fake Acc: 25.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.5146 | Dis Loss (Avg): 1.8576 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.4731 | Dis Loss (Avg): 1.8417 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.4273 | Dis Loss (Avg): 1.8410 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.3832 | Dis Loss (Avg): 1.8255 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.3337 | Dis Loss (Avg): 1.8097 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.2914 | Dis Loss (Avg): 1.7982 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.2428 | Dis Loss (Avg): 1.7831 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.1969 | Dis Loss (Avg): 1.7721 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.1595 | Dis Loss (Avg): 1.7583 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.1309 | Dis Loss (Avg): 1.7423 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.0909 | Dis Loss (Avg): 1.8106 | Real Acc: 62.50% | Fake Acc: 100.00% Time elapsed: 0.69 min Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 5.0400 | Dis Loss (Avg): 1.7954 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.9896 | Dis Loss (Avg): 1.8291 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.9400 | Dis Loss (Avg): 1.8498 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.9026 | Dis Loss (Avg): 1.8498 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.8649 | Dis Loss (Avg): 1.8339 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.8470 | Dis Loss (Avg): 1.8181 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.8115 | Dis Loss (Avg): 2.0253 | Real Acc: 37.50% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.7647 | Dis Loss (Avg): 2.0156 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.7237 | Dis Loss (Avg): 2.0094 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.6918 | Dis Loss (Avg): 1.9935 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.6575 | Dis Loss (Avg): 2.0472 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.6189 | Dis Loss (Avg): 2.0335 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.5842 | Dis Loss (Avg): 2.0164 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.5573 | Dis Loss (Avg): 1.9984 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.5260 | Dis Loss (Avg): 2.0015 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.4846 | Dis Loss (Avg): 1.9878 | Real Acc: 93.75% | Fake Acc: 0.00% Time elapsed: 0.76 min Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.4471 | Dis Loss (Avg): 1.9752 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.4159 | Dis Loss (Avg): 1.9593 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.3897 | Dis Loss (Avg): 1.9414 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.3528 | Dis Loss (Avg): 1.9468 | Real Acc: 87.50% | Fake Acc: 50.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.3184 | Dis Loss (Avg): 1.9311 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.2872 | Dis Loss (Avg): 1.9146 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.2568 | Dis Loss (Avg): 1.8976 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.2220 | Dis Loss (Avg): 1.8975 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.1887 | Dis Loss (Avg): 1.8819 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.1572 | Dis Loss (Avg): 1.8657 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.1261 | Dis Loss (Avg): 1.8495 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.0965 | Dis Loss (Avg): 1.8335 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.0630 | Dis Loss (Avg): 1.8225 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.0310 | Dis Loss (Avg): 1.8080 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.0011 | Dis Loss (Avg): 1.7931 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 3.9738 | Dis Loss (Avg): 1.7774 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.82 min Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.9449 | Dis Loss (Avg): 1.7692 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.9140 | Dis Loss (Avg): 1.7555 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.8849 | Dis Loss (Avg): 1.7410 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.8584 | Dis Loss (Avg): 1.7262 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.8291 | Dis Loss (Avg): 1.7165 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.8006 | Dis Loss (Avg): 1.7020 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.7741 | Dis Loss (Avg): 1.6875 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.7449 | Dis Loss (Avg): 1.6739 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.7178 | Dis Loss (Avg): 1.6606 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.6886 | Dis Loss (Avg): 1.6465 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.6611 | Dis Loss (Avg): 1.6332 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.6362 | Dis Loss (Avg): 1.6194 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.6138 | Dis Loss (Avg): 1.6051 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.5873 | Dis Loss (Avg): 1.5974 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.5619 | Dis Loss (Avg): 1.5842 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.5384 | Dis Loss (Avg): 1.5708 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.89 min Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.5154 | Dis Loss (Avg): 1.5570 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.4941 | Dis Loss (Avg): 1.5432 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.4749 | Dis Loss (Avg): 1.5294 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.4509 | Dis Loss (Avg): 1.5335 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.4307 | Dis Loss (Avg): 1.5222 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.4126 | Dis Loss (Avg): 1.5085 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.3899 | Dis Loss (Avg): 1.5307 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.3644 | Dis Loss (Avg): 1.5191 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.3410 | Dis Loss (Avg): 1.5070 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.3210 | Dis Loss (Avg): 1.4941 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.3049 | Dis Loss (Avg): 1.4809 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.2807 | Dis Loss (Avg): 1.4750 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.2598 | Dis Loss (Avg): 1.4647 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.2354 | Dis Loss (Avg): 1.4523 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.2150 | Dis Loss (Avg): 1.4417 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:37:41,285] Trial 7 finished with value: 1.4316544707240413 and parameters: {'latent_dim': 194, 'lr_gen': 7.132068773165721e-05, 'lr_discr': 0.0030742178962451894, 'batch_size': 16, 'num_epochs': 14}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.1885 | Dis Loss (Avg): 1.4317 | Real Acc: 87.50% | Fake Acc: 0.00% Time elapsed: 0.96 min Total Training Time: 0.96 min Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.0123 | Dis Loss (Avg): 0.0068 | Real Acc: 50.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.0541 | Dis Loss (Avg): 0.0229 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.1193 | Dis Loss (Avg): 0.0228 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.1909 | Dis Loss (Avg): 0.0226 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.2582 | Dis Loss (Avg): 0.0301 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.3585 | Dis Loss (Avg): 0.0301 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.4689 | Dis Loss (Avg): 0.0298 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.5697 | Dis Loss (Avg): 0.0295 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.6467 | Dis Loss (Avg): 0.0293 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.7483 | Dis Loss (Avg): 0.0291 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.8463 | Dis Loss (Avg): 0.0288 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.9366 | Dis Loss (Avg): 0.0286 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.9272 | Dis Loss (Avg): 0.0822 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.9945 | Dis Loss (Avg): 0.1287 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 1.0836 | Dis Loss (Avg): 0.1275 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 1.1196 | Dis Loss (Avg): 0.1424 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.07 min Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.1999 | Dis Loss (Avg): 0.1737 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.2864 | Dis Loss (Avg): 0.1720 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.3341 | Dis Loss (Avg): 0.1760 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.3825 | Dis Loss (Avg): 0.1750 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.4073 | Dis Loss (Avg): 0.1849 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.4560 | Dis Loss (Avg): 0.2083 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.5310 | Dis Loss (Avg): 0.2065 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.5620 | Dis Loss (Avg): 0.2882 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.6274 | Dis Loss (Avg): 0.2892 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.6941 | Dis Loss (Avg): 0.2863 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.7317 | Dis Loss (Avg): 0.2943 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.7704 | Dis Loss (Avg): 0.2922 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.7830 | Dis Loss (Avg): 0.3144 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.8383 | Dis Loss (Avg): 0.3263 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.8675 | Dis Loss (Avg): 0.3386 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.8636 | Dis Loss (Avg): 0.3530 | Real Acc: 87.50% | Fake Acc: 81.25% Time elapsed: 0.14 min Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 1.8760 | Dis Loss (Avg): 0.3673 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 1.9289 | Dis Loss (Avg): 0.3693 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 1.9952 | Dis Loss (Avg): 0.3656 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0013 | Dis Loss (Avg): 0.5848 | Real Acc: 43.75% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0168 | Dis Loss (Avg): 0.5891 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0870 | Dis Loss (Avg): 0.5869 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0995 | Dis Loss (Avg): 1.1681 | Real Acc: 12.50% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0786 | Dis Loss (Avg): 1.2051 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0578 | Dis Loss (Avg): 1.2358 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0406 | Dis Loss (Avg): 1.2518 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0545 | Dis Loss (Avg): 1.2490 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0555 | Dis Loss (Avg): 1.3366 | Real Acc: 25.00% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0364 | Dis Loss (Avg): 1.3294 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0209 | Dis Loss (Avg): 1.3313 | Real Acc: 100.00% | Fake Acc: 6.25% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0233 | Dis Loss (Avg): 1.3280 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0158 | Dis Loss (Avg): 1.3187 | Real Acc: 81.25% | Fake Acc: 100.00% Time elapsed: 0.20 min Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0146 | Dis Loss (Avg): 1.3099 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0377 | Dis Loss (Avg): 1.3007 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0362 | Dis Loss (Avg): 1.3105 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0377 | Dis Loss (Avg): 1.3029 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0216 | Dis Loss (Avg): 1.3342 | Real Acc: 43.75% | Fake Acc: 0.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0160 | Dis Loss (Avg): 1.3281 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0055 | Dis Loss (Avg): 1.3392 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0057 | Dis Loss (Avg): 1.3305 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9923 | Dis Loss (Avg): 1.3644 | Real Acc: 56.25% | Fake Acc: 37.50% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9853 | Dis Loss (Avg): 1.3562 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9833 | Dis Loss (Avg): 1.3451 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9693 | Dis Loss (Avg): 1.3539 | Real Acc: 75.00% | Fake Acc: 12.50% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9577 | Dis Loss (Avg): 1.3470 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9563 | Dis Loss (Avg): 1.3376 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9463 | Dis Loss (Avg): 1.3646 | Real Acc: 43.75% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9302 | Dis Loss (Avg): 1.3556 | Real Acc: 93.75% | Fake Acc: 0.00% Time elapsed: 0.27 min Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.9136 | Dis Loss (Avg): 1.3515 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.9017 | Dis Loss (Avg): 1.3458 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.9001 | Dis Loss (Avg): 1.3363 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8886 | Dis Loss (Avg): 1.3633 | Real Acc: 62.50% | Fake Acc: 87.50% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8821 | Dis Loss (Avg): 1.3562 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8696 | Dis Loss (Avg): 1.3639 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8660 | Dis Loss (Avg): 1.3547 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8512 | Dis Loss (Avg): 1.3450 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8375 | Dis Loss (Avg): 1.3392 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8285 | Dis Loss (Avg): 1.3316 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8159 | Dis Loss (Avg): 1.3244 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8057 | Dis Loss (Avg): 1.3158 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.7929 | Dis Loss (Avg): 1.3065 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.7832 | Dis Loss (Avg): 1.2983 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.7795 | Dis Loss (Avg): 1.2886 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.7692 | Dis Loss (Avg): 1.3044 | Real Acc: 62.50% | Fake Acc: 100.00% Time elapsed: 0.34 min Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7535 | Dis Loss (Avg): 1.2992 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7404 | Dis Loss (Avg): 1.2964 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7338 | Dis Loss (Avg): 1.2890 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7229 | Dis Loss (Avg): 1.2802 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7134 | Dis Loss (Avg): 1.2713 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7062 | Dis Loss (Avg): 1.2622 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6951 | Dis Loss (Avg): 1.2555 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6856 | Dis Loss (Avg): 1.2469 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6792 | Dis Loss (Avg): 1.2379 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6689 | Dis Loss (Avg): 1.2382 | Real Acc: 62.50% | Fake Acc: 12.50% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6601 | Dis Loss (Avg): 1.2300 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6535 | Dis Loss (Avg): 1.2208 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6435 | Dis Loss (Avg): 1.2137 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6344 | Dis Loss (Avg): 1.2055 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6274 | Dis Loss (Avg): 1.1971 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6174 | Dis Loss (Avg): 1.1888 | Real Acc: 87.50% | Fake Acc: 0.00% Time elapsed: 0.41 min Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.6082 | Dis Loss (Avg): 1.1810 | Real Acc: 100.00% | Fake Acc: 56.25% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.6017 | Dis Loss (Avg): 1.1727 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5952 | Dis Loss (Avg): 1.1639 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5892 | Dis Loss (Avg): 1.1550 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5818 | Dis Loss (Avg): 1.1467 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5777 | Dis Loss (Avg): 1.1382 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5678 | Dis Loss (Avg): 1.1381 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5591 | Dis Loss (Avg): 1.1311 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5524 | Dis Loss (Avg): 1.1234 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5428 | Dis Loss (Avg): 1.1161 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5336 | Dis Loss (Avg): 1.1091 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5262 | Dis Loss (Avg): 1.1020 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5189 | Dis Loss (Avg): 1.0944 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5128 | Dis Loss (Avg): 1.0865 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5071 | Dis Loss (Avg): 1.0783 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.4963 | Dis Loss (Avg): 1.0706 | Real Acc: 93.75% | Fake Acc: 0.00% Time elapsed: 0.48 min Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4872 | Dis Loss (Avg): 1.0654 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4813 | Dis Loss (Avg): 1.0589 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4792 | Dis Loss (Avg): 1.0511 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4697 | Dis Loss (Avg): 1.0528 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4635 | Dis Loss (Avg): 1.0485 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4619 | Dis Loss (Avg): 1.0412 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4547 | Dis Loss (Avg): 1.0461 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4486 | Dis Loss (Avg): 1.0389 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4457 | Dis Loss (Avg): 1.0314 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4370 | Dis Loss (Avg): 1.0251 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4301 | Dis Loss (Avg): 1.0191 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4257 | Dis Loss (Avg): 1.0125 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4189 | Dis Loss (Avg): 1.0071 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4129 | Dis Loss (Avg): 1.0004 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4081 | Dis Loss (Avg): 0.9935 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4056 | Dis Loss (Avg): 0.9863 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.54 min Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3992 | Dis Loss (Avg): 0.9870 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3935 | Dis Loss (Avg): 0.9806 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3891 | Dis Loss (Avg): 0.9737 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3807 | Dis Loss (Avg): 0.9680 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3747 | Dis Loss (Avg): 0.9634 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3701 | Dis Loss (Avg): 0.9569 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3659 | Dis Loss (Avg): 0.9500 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3610 | Dis Loss (Avg): 0.9434 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3577 | Dis Loss (Avg): 0.9369 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3506 | Dis Loss (Avg): 0.9372 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3455 | Dis Loss (Avg): 0.9318 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3424 | Dis Loss (Avg): 0.9257 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3405 | Dis Loss (Avg): 0.9190 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3351 | Dis Loss (Avg): 0.9215 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3307 | Dis Loss (Avg): 0.9154 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3295 | Dis Loss (Avg): 0.9089 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.61 min Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3244 | Dis Loss (Avg): 0.9032 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3214 | Dis Loss (Avg): 0.8974 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3200 | Dis Loss (Avg): 0.8910 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3142 | Dis Loss (Avg): 0.8915 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3110 | Dis Loss (Avg): 0.8862 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3104 | Dis Loss (Avg): 0.8800 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3081 | Dis Loss (Avg): 0.8734 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2977 | Dis Loss (Avg): 0.8710 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2925 | Dis Loss (Avg): 0.8709 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3007 | Dis Loss (Avg): 0.8654 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2926 | Dis Loss (Avg): 0.8734 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2810 | Dis Loss (Avg): 0.8746 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2729 | Dis Loss (Avg): 0.8794 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2698 | Dis Loss (Avg): 0.8765 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2647 | Dis Loss (Avg): 0.8722 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2608 | Dis Loss (Avg): 0.8667 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.68 min Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2582 | Dis Loss (Avg): 0.8609 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2534 | Dis Loss (Avg): 0.8563 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2493 | Dis Loss (Avg): 0.8509 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2468 | Dis Loss (Avg): 0.8452 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2458 | Dis Loss (Avg): 0.8391 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2427 | Dis Loss (Avg): 0.8338 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2341 | Dis Loss (Avg): 0.8300 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2287 | Dis Loss (Avg): 0.8283 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2262 | Dis Loss (Avg): 0.8236 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2235 | Dis Loss (Avg): 0.8190 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2252 | Dis Loss (Avg): 0.8134 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2212 | Dis Loss (Avg): 0.8126 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2171 | Dis Loss (Avg): 0.8081 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2156 | Dis Loss (Avg): 0.8035 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2113 | Dis Loss (Avg): 0.7981 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2103 | Dis Loss (Avg): 0.7932 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.75 min Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.2040 | Dis Loss (Avg): 0.7884 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.2013 | Dis Loss (Avg): 0.7852 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.2003 | Dis Loss (Avg): 0.7801 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1958 | Dis Loss (Avg): 0.7786 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1919 | Dis Loss (Avg): 0.7741 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1897 | Dis Loss (Avg): 0.7693 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1889 | Dis Loss (Avg): 0.7641 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1854 | Dis Loss (Avg): 0.7597 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1822 | Dis Loss (Avg): 0.7552 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1764 | Dis Loss (Avg): 0.7526 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1722 | Dis Loss (Avg): 0.7496 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1697 | Dis Loss (Avg): 0.7453 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1687 | Dis Loss (Avg): 0.7405 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1669 | Dis Loss (Avg): 0.7361 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1658 | Dis Loss (Avg): 0.7311 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:38:31,090] Trial 8 finished with value: 0.7290459909833029 and parameters: {'latent_dim': 153, 'lr_gen': 0.0003357870828493334, 'lr_discr': 0.0019387489454709185, 'batch_size': 40, 'num_epochs': 12}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1606 | Dis Loss (Avg): 0.7290 | Real Acc: 81.25% | Fake Acc: 0.00% Time elapsed: 0.82 min Total Training Time: 0.82 min Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0095 | Dis Loss (Avg): 0.0069 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0094 | Dis Loss (Avg): 0.1595 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2235 | Dis Loss (Avg): 0.2259 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2213 | Dis Loss (Avg): 2.1205 | Real Acc: 18.75% | Fake Acc: 0.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2191 | Dis Loss (Avg): 4.1283 | Real Acc: 18.75% | Fake Acc: 0.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 1.9752 | Dis Loss (Avg): 4.4782 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.1643 | Dis Loss (Avg): 4.4507 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.2570 | Dis Loss (Avg): 4.4433 | Real Acc: 81.25% | Fake Acc: 81.25% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.3673 | Dis Loss (Avg): 4.5050 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.3475 | Dis Loss (Avg): 4.6456 | Real Acc: 25.00% | Fake Acc: 43.75% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.3310 | Dis Loss (Avg): 4.6811 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.4452 | Dis Loss (Avg): 4.6817 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.5037 | Dis Loss (Avg): 4.6776 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.4778 | Dis Loss (Avg): 4.7341 | Real Acc: 62.50% | Fake Acc: 37.50% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.4958 | Dis Loss (Avg): 4.8450 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.8332 | Dis Loss (Avg): 4.8201 | Real Acc: 75.00% | Fake Acc: 100.00% Time elapsed: 0.07 min Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 3.9851 | Dis Loss (Avg): 4.9514 | Real Acc: 12.50% | Fake Acc: 81.25% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.1157 | Dis Loss (Avg): 4.9991 | Real Acc: 56.25% | Fake Acc: 93.75% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.0874 | Dis Loss (Avg): 5.0312 | Real Acc: 25.00% | Fake Acc: 18.75% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.1114 | Dis Loss (Avg): 5.0154 | Real Acc: 93.75% | Fake Acc: 75.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.0778 | Dis Loss (Avg): 5.0196 | Real Acc: 31.25% | Fake Acc: 37.50% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.0972 | Dis Loss (Avg): 4.9936 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.1449 | Dis Loss (Avg): 4.9485 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.1128 | Dis Loss (Avg): 5.0568 | Real Acc: 12.50% | Fake Acc: 37.50% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.0782 | Dis Loss (Avg): 5.1297 | Real Acc: 18.75% | Fake Acc: 43.75% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.2154 | Dis Loss (Avg): 5.1702 | Real Acc: 87.50% | Fake Acc: 75.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.3961 | Dis Loss (Avg): 5.1934 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.3965 | Dis Loss (Avg): 5.2250 | Real Acc: 31.25% | Fake Acc: 37.50% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.3569 | Dis Loss (Avg): 5.2315 | Real Acc: 50.00% | Fake Acc: 25.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.4658 | Dis Loss (Avg): 5.2120 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.4580 | Dis Loss (Avg): 5.2538 | Real Acc: 18.75% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.4156 | Dis Loss (Avg): 5.2318 | Real Acc: 31.25% | Fake Acc: 0.00% Time elapsed: 0.14 min Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3909 | Dis Loss (Avg): 5.1964 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3890 | Dis Loss (Avg): 5.1540 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3563 | Dis Loss (Avg): 5.1440 | Real Acc: 37.50% | Fake Acc: 75.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3477 | Dis Loss (Avg): 5.1088 | Real Acc: 87.50% | Fake Acc: 68.75% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3442 | Dis Loss (Avg): 5.0673 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3713 | Dis Loss (Avg): 5.0316 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3475 | Dis Loss (Avg): 5.1027 | Real Acc: 6.25% | Fake Acc: 81.25% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3668 | Dis Loss (Avg): 5.1085 | Real Acc: 31.25% | Fake Acc: 93.75% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.4083 | Dis Loss (Avg): 5.0615 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3820 | Dis Loss (Avg): 5.0170 | Real Acc: 87.50% | Fake Acc: 68.75% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3592 | Dis Loss (Avg): 4.9725 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3462 | Dis Loss (Avg): 4.9281 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3112 | Dis Loss (Avg): 4.9025 | Real Acc: 31.25% | Fake Acc: 56.25% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.2723 | Dis Loss (Avg): 4.8896 | Real Acc: 75.00% | Fake Acc: 12.50% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.2718 | Dis Loss (Avg): 4.8529 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.2377 | Dis Loss (Avg): 4.8400 | Real Acc: 43.75% | Fake Acc: 50.00% Time elapsed: 0.21 min Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.2170 | Dis Loss (Avg): 4.8015 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.1790 | Dis Loss (Avg): 4.7617 | Real Acc: 68.75% | Fake Acc: 6.25% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.1534 | Dis Loss (Avg): 4.7264 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.1245 | Dis Loss (Avg): 4.6897 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.1062 | Dis Loss (Avg): 4.6771 | Real Acc: 25.00% | Fake Acc: 68.75% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.0774 | Dis Loss (Avg): 4.6545 | Real Acc: 50.00% | Fake Acc: 75.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.0903 | Dis Loss (Avg): 4.6132 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.0646 | Dis Loss (Avg): 4.5751 | Real Acc: 43.75% | Fake Acc: 43.75% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.0269 | Dis Loss (Avg): 4.5518 | Real Acc: 87.50% | Fake Acc: 6.25% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.0117 | Dis Loss (Avg): 4.5196 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.9760 | Dis Loss (Avg): 4.4855 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.9482 | Dis Loss (Avg): 4.4486 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.9148 | Dis Loss (Avg): 4.4127 | Real Acc: 50.00% | Fake Acc: 18.75% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.8891 | Dis Loss (Avg): 4.3744 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.8549 | Dis Loss (Avg): 4.3376 | Real Acc: 43.75% | Fake Acc: 18.75% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.8244 | Dis Loss (Avg): 4.3036 | Real Acc: 93.75% | Fake Acc: 68.75% Time elapsed: 0.28 min Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.7943 | Dis Loss (Avg): 4.2662 | Real Acc: 75.00% | Fake Acc: 68.75% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.7606 | Dis Loss (Avg): 4.2318 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.7493 | Dis Loss (Avg): 4.1960 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.7176 | Dis Loss (Avg): 4.1678 | Real Acc: 43.75% | Fake Acc: 37.50% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.6888 | Dis Loss (Avg): 4.1340 | Real Acc: 87.50% | Fake Acc: 87.50% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.6706 | Dis Loss (Avg): 4.0973 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.6364 | Dis Loss (Avg): 4.0666 | Real Acc: 62.50% | Fake Acc: 12.50% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.6020 | Dis Loss (Avg): 4.0409 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.5753 | Dis Loss (Avg): 4.0109 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.5555 | Dis Loss (Avg): 3.9762 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.5274 | Dis Loss (Avg): 3.9500 | Real Acc: 43.75% | Fake Acc: 37.50% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.5037 | Dis Loss (Avg): 3.9174 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.4727 | Dis Loss (Avg): 3.8859 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.4434 | Dis Loss (Avg): 3.8563 | Real Acc: 93.75% | Fake Acc: 6.25% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.4263 | Dis Loss (Avg): 3.8232 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.3979 | Dis Loss (Avg): 3.8002 | Real Acc: 43.75% | Fake Acc: 31.25% Time elapsed: 0.34 min Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.3768 | Dis Loss (Avg): 3.7688 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.3779 | Dis Loss (Avg): 3.7369 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.3492 | Dis Loss (Avg): 3.7203 | Real Acc: 43.75% | Fake Acc: 12.50% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.3246 | Dis Loss (Avg): 3.6896 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.3108 | Dis Loss (Avg): 3.6567 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2824 | Dis Loss (Avg): 3.6302 | Real Acc: 43.75% | Fake Acc: 6.25% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2750 | Dis Loss (Avg): 3.6010 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2514 | Dis Loss (Avg): 3.5726 | Real Acc: 81.25% | Fake Acc: 31.25% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2290 | Dis Loss (Avg): 3.5438 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2218 | Dis Loss (Avg): 3.5130 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2001 | Dis Loss (Avg): 3.4958 | Real Acc: 50.00% | Fake Acc: 100.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.1742 | Dis Loss (Avg): 3.4679 | Real Acc: 75.00% | Fake Acc: 18.75% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.1473 | Dis Loss (Avg): 3.4467 | Real Acc: 87.50% | Fake Acc: 12.50% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.1286 | Dis Loss (Avg): 3.4210 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.1051 | Dis Loss (Avg): 3.3965 | Real Acc: 31.25% | Fake Acc: 75.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.0966 | Dis Loss (Avg): 3.3666 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.41 min Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 3.0779 | Dis Loss (Avg): 3.3375 | Real Acc: 87.50% | Fake Acc: 68.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 3.0523 | Dis Loss (Avg): 3.3155 | Real Acc: 68.75% | Fake Acc: 18.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 3.0310 | Dis Loss (Avg): 3.2900 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 3.0080 | Dis Loss (Avg): 3.2671 | Real Acc: 68.75% | Fake Acc: 62.50% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9915 | Dis Loss (Avg): 3.2405 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9731 | Dis Loss (Avg): 3.2141 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9656 | Dis Loss (Avg): 3.1865 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9529 | Dis Loss (Avg): 3.1639 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9302 | Dis Loss (Avg): 3.1395 | Real Acc: 56.25% | Fake Acc: 50.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9185 | Dis Loss (Avg): 3.1140 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8983 | Dis Loss (Avg): 3.0916 | Real Acc: 62.50% | Fake Acc: 75.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8829 | Dis Loss (Avg): 3.0690 | Real Acc: 75.00% | Fake Acc: 93.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8779 | Dis Loss (Avg): 3.0440 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8592 | Dis Loss (Avg): 3.0352 | Real Acc: 37.50% | Fake Acc: 56.25% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8550 | Dis Loss (Avg): 3.0102 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8376 | Dis Loss (Avg): 2.9863 | Real Acc: 56.25% | Fake Acc: 43.75% Time elapsed: 0.48 min Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.8172 | Dis Loss (Avg): 2.9636 | Real Acc: 87.50% | Fake Acc: 50.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.8088 | Dis Loss (Avg): 2.9397 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.7900 | Dis Loss (Avg): 2.9214 | Real Acc: 68.75% | Fake Acc: 81.25% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.7660 | Dis Loss (Avg): 2.8984 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.7507 | Dis Loss (Avg): 2.8758 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.7401 | Dis Loss (Avg): 2.8528 | Real Acc: 81.25% | Fake Acc: 81.25% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.7178 | Dis Loss (Avg): 2.8341 | Real Acc: 62.50% | Fake Acc: 18.75% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6966 | Dis Loss (Avg): 2.8168 | Real Acc: 87.50% | Fake Acc: 18.75% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6887 | Dis Loss (Avg): 2.7942 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6714 | Dis Loss (Avg): 2.7834 | Real Acc: 25.00% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6484 | Dis Loss (Avg): 2.7631 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6292 | Dis Loss (Avg): 2.7417 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6158 | Dis Loss (Avg): 2.7187 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.5973 | Dis Loss (Avg): 2.6952 | Real Acc: 93.75% | Fake Acc: 62.50% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.5956 | Dis Loss (Avg): 2.6771 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.5749 | Dis Loss (Avg): 2.6678 | Real Acc: 37.50% | Fake Acc: 25.00% Time elapsed: 0.55 min Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.5639 | Dis Loss (Avg): 2.6481 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.5461 | Dis Loss (Avg): 2.6281 | Real Acc: 68.75% | Fake Acc: 81.25% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.5388 | Dis Loss (Avg): 2.6071 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.5208 | Dis Loss (Avg): 2.5908 | Real Acc: 75.00% | Fake Acc: 62.50% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.5092 | Dis Loss (Avg): 2.5708 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4989 | Dis Loss (Avg): 2.5496 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4926 | Dis Loss (Avg): 2.5287 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4812 | Dis Loss (Avg): 2.5117 | Real Acc: 50.00% | Fake Acc: 62.50% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4742 | Dis Loss (Avg): 2.4935 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4605 | Dis Loss (Avg): 2.4753 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4423 | Dis Loss (Avg): 2.4624 | Real Acc: 18.75% | Fake Acc: 31.25% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4347 | Dis Loss (Avg): 2.4435 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4174 | Dis Loss (Avg): 2.4273 | Real Acc: 43.75% | Fake Acc: 43.75% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4198 | Dis Loss (Avg): 2.4071 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4112 | Dis Loss (Avg): 2.3883 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.3908 | Dis Loss (Avg): 2.3691 | Real Acc: 81.25% | Fake Acc: 6.25% Time elapsed: 0.62 min Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3759 | Dis Loss (Avg): 2.3544 | Real Acc: 93.75% | Fake Acc: 81.25% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3650 | Dis Loss (Avg): 2.3363 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3483 | Dis Loss (Avg): 2.3176 | Real Acc: 75.00% | Fake Acc: 50.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3336 | Dis Loss (Avg): 2.3034 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3349 | Dis Loss (Avg): 2.2851 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3182 | Dis Loss (Avg): 2.2699 | Real Acc: 62.50% | Fake Acc: 43.75% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3224 | Dis Loss (Avg): 2.2514 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3132 | Dis Loss (Avg): 2.2351 | Real Acc: 81.25% | Fake Acc: 62.50% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3143 | Dis Loss (Avg): 2.2169 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3077 | Dis Loss (Avg): 2.1996 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3031 | Dis Loss (Avg): 2.1819 | Real Acc: 75.00% | Fake Acc: 81.25% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3004 | Dis Loss (Avg): 2.1667 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3111 | Dis Loss (Avg): 2.1490 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3251 | Dis Loss (Avg): 2.1410 | Real Acc: 50.00% | Fake Acc: 93.75% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3117 | Dis Loss (Avg): 2.1244 | Real Acc: 81.25% | Fake Acc: 31.25% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.2997 | Dis Loss (Avg): 2.1115 | Real Acc: 100.00% | Fake Acc: 68.75% Time elapsed: 0.69 min Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3108 | Dis Loss (Avg): 2.0937 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.2989 | Dis Loss (Avg): 2.0825 | Real Acc: 43.75% | Fake Acc: 81.25% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3041 | Dis Loss (Avg): 2.0659 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3250 | Dis Loss (Avg): 2.0524 | Real Acc: 62.50% | Fake Acc: 81.25% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3218 | Dis Loss (Avg): 2.0357 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3226 | Dis Loss (Avg): 2.0228 | Real Acc: 81.25% | Fake Acc: 93.75% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3228 | Dis Loss (Avg): 2.0065 | Real Acc: 68.75% | Fake Acc: 93.75% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3244 | Dis Loss (Avg): 1.9944 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3297 | Dis Loss (Avg): 1.9780 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3279 | Dis Loss (Avg): 1.9763 | Real Acc: 25.00% | Fake Acc: 68.75% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3283 | Dis Loss (Avg): 1.9632 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3231 | Dis Loss (Avg): 1.9478 | Real Acc: 68.75% | Fake Acc: 68.75% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3412 | Dis Loss (Avg): 1.9338 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3550 | Dis Loss (Avg): 1.9254 | Real Acc: 43.75% | Fake Acc: 68.75% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3762 | Dis Loss (Avg): 1.9095 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3841 | Dis Loss (Avg): 1.9003 | Real Acc: 62.50% | Fake Acc: 93.75% Time elapsed: 0.75 min Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3910 | Dis Loss (Avg): 1.8877 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3800 | Dis Loss (Avg): 1.8798 | Real Acc: 50.00% | Fake Acc: 56.25% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4013 | Dis Loss (Avg): 1.8671 | Real Acc: 87.50% | Fake Acc: 87.50% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3975 | Dis Loss (Avg): 1.8538 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3821 | Dis Loss (Avg): 1.8395 | Real Acc: 68.75% | Fake Acc: 56.25% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3836 | Dis Loss (Avg): 1.8305 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3986 | Dis Loss (Avg): 1.8157 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3868 | Dis Loss (Avg): 1.8071 | Real Acc: 87.50% | Fake Acc: 50.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3826 | Dis Loss (Avg): 1.7948 | Real Acc: 75.00% | Fake Acc: 81.25% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3985 | Dis Loss (Avg): 1.7820 | Real Acc: 50.00% | Fake Acc: 62.50% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4034 | Dis Loss (Avg): 1.7889 | Real Acc: 100.00% | Fake Acc: 62.50% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3993 | Dis Loss (Avg): 1.7895 | Real Acc: 37.50% | Fake Acc: 81.25% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4094 | Dis Loss (Avg): 1.7807 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4079 | Dis Loss (Avg): 1.7692 | Real Acc: 43.75% | Fake Acc: 43.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4078 | Dis Loss (Avg): 1.7595 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4053 | Dis Loss (Avg): 1.7495 | Real Acc: 43.75% | Fake Acc: 87.50% Time elapsed: 0.82 min Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.4459 | Dis Loss (Avg): 1.7348 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.4976 | Dis Loss (Avg): 1.7197 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5097 | Dis Loss (Avg): 1.7150 | Real Acc: 56.25% | Fake Acc: 93.75% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5423 | Dis Loss (Avg): 1.7071 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5442 | Dis Loss (Avg): 1.6947 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5618 | Dis Loss (Avg): 1.6820 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5963 | Dis Loss (Avg): 1.6676 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5711 | Dis Loss (Avg): 1.6576 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5598 | Dis Loss (Avg): 1.6661 | Real Acc: 81.25% | Fake Acc: 43.75% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5784 | Dis Loss (Avg): 1.6584 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5786 | Dis Loss (Avg): 1.6458 | Real Acc: 75.00% | Fake Acc: 81.25% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5861 | Dis Loss (Avg): 1.6407 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5873 | Dis Loss (Avg): 1.6299 | Real Acc: 62.50% | Fake Acc: 93.75% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.6202 | Dis Loss (Avg): 1.6168 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.6415 | Dis Loss (Avg): 1.6054 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.6926 | Dis Loss (Avg): 1.6038 | Real Acc: 50.00% | Fake Acc: 100.00% Time elapsed: 0.89 min Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.6930 | Dis Loss (Avg): 1.5910 | Real Acc: 93.75% | Fake Acc: 81.25% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7142 | Dis Loss (Avg): 1.5819 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7101 | Dis Loss (Avg): 1.5743 | Real Acc: 68.75% | Fake Acc: 87.50% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7095 | Dis Loss (Avg): 1.5686 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7328 | Dis Loss (Avg): 1.5619 | Real Acc: 31.25% | Fake Acc: 100.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7560 | Dis Loss (Avg): 1.5561 | Real Acc: 75.00% | Fake Acc: 75.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7521 | Dis Loss (Avg): 1.5480 | Real Acc: 93.75% | Fake Acc: 81.25% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7906 | Dis Loss (Avg): 1.5358 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7842 | Dis Loss (Avg): 1.5289 | Real Acc: 68.75% | Fake Acc: 81.25% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7859 | Dis Loss (Avg): 1.5239 | Real Acc: 81.25% | Fake Acc: 93.75% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7687 | Dis Loss (Avg): 1.5161 | Real Acc: 50.00% | Fake Acc: 25.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7574 | Dis Loss (Avg): 1.5154 | Real Acc: 81.25% | Fake Acc: 81.25% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7652 | Dis Loss (Avg): 1.5071 | Real Acc: 56.25% | Fake Acc: 93.75% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7466 | Dis Loss (Avg): 1.4962 | Real Acc: 56.25% | Fake Acc: 31.25% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7901 | Dis Loss (Avg): 1.4882 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7964 | Dis Loss (Avg): 1.4790 | Real Acc: 62.50% | Fake Acc: 81.25% Time elapsed: 0.96 min Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8074 | Dis Loss (Avg): 1.4710 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7853 | Dis Loss (Avg): 1.4642 | Real Acc: 50.00% | Fake Acc: 43.75% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7849 | Dis Loss (Avg): 1.4574 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7645 | Dis Loss (Avg): 1.4519 | Real Acc: 50.00% | Fake Acc: 56.25% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7622 | Dis Loss (Avg): 1.4448 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7945 | Dis Loss (Avg): 1.4326 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7910 | Dis Loss (Avg): 1.4230 | Real Acc: 75.00% | Fake Acc: 75.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7868 | Dis Loss (Avg): 1.4247 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7977 | Dis Loss (Avg): 1.4211 | Real Acc: 37.50% | Fake Acc: 81.25% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7861 | Dis Loss (Avg): 1.4108 | Real Acc: 87.50% | Fake Acc: 62.50% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8352 | Dis Loss (Avg): 1.4038 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8360 | Dis Loss (Avg): 1.4001 | Real Acc: 68.75% | Fake Acc: 75.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8994 | Dis Loss (Avg): 1.3911 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8824 | Dis Loss (Avg): 1.3840 | Real Acc: 50.00% | Fake Acc: 56.25% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8868 | Dis Loss (Avg): 1.3794 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.9093 | Dis Loss (Avg): 1.3713 | Real Acc: 56.25% | Fake Acc: 87.50% Time elapsed: 1.03 min Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 2.8952 | Dis Loss (Avg): 1.3692 | Real Acc: 75.00% | Fake Acc: 62.50% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 2.9497 | Dis Loss (Avg): 1.3635 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0469 | Dis Loss (Avg): 1.3556 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0354 | Dis Loss (Avg): 1.3673 | Real Acc: 43.75% | Fake Acc: 93.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0371 | Dis Loss (Avg): 1.3570 | Real Acc: 75.00% | Fake Acc: 93.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0328 | Dis Loss (Avg): 1.3578 | Real Acc: 87.50% | Fake Acc: 87.50% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0339 | Dis Loss (Avg): 1.3583 | Real Acc: 31.25% | Fake Acc: 56.25% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0289 | Dis Loss (Avg): 1.3514 | Real Acc: 68.75% | Fake Acc: 93.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0112 | Dis Loss (Avg): 1.3424 | Real Acc: 50.00% | Fake Acc: 75.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0102 | Dis Loss (Avg): 1.3382 | Real Acc: 56.25% | Fake Acc: 37.50% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0696 | Dis Loss (Avg): 1.3314 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0659 | Dis Loss (Avg): 1.3282 | Real Acc: 75.00% | Fake Acc: 81.25% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0720 | Dis Loss (Avg): 1.3201 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0861 | Dis Loss (Avg): 1.3236 | Real Acc: 31.25% | Fake Acc: 100.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.1175 | Dis Loss (Avg): 1.3221 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.1181 | Dis Loss (Avg): 1.3244 | Real Acc: 31.25% | Fake Acc: 68.75% Time elapsed: 1.09 min Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1676 | Dis Loss (Avg): 1.3366 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1621 | Dis Loss (Avg): 1.3310 | Real Acc: 62.50% | Fake Acc: 68.75% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2043 | Dis Loss (Avg): 1.3207 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1897 | Dis Loss (Avg): 1.3142 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2113 | Dis Loss (Avg): 1.3044 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2003 | Dis Loss (Avg): 1.2958 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1847 | Dis Loss (Avg): 1.2944 | Real Acc: 68.75% | Fake Acc: 62.50% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2006 | Dis Loss (Avg): 1.2901 | Real Acc: 81.25% | Fake Acc: 93.75% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1959 | Dis Loss (Avg): 1.2845 | Real Acc: 37.50% | Fake Acc: 93.75% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1929 | Dis Loss (Avg): 1.2798 | Real Acc: 68.75% | Fake Acc: 81.25% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2332 | Dis Loss (Avg): 1.2756 | Real Acc: 50.00% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2094 | Dis Loss (Avg): 1.2675 | Real Acc: 75.00% | Fake Acc: 50.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2772 | Dis Loss (Avg): 1.2603 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2617 | Dis Loss (Avg): 1.2600 | Real Acc: 31.25% | Fake Acc: 93.75% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2976 | Dis Loss (Avg): 1.2526 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2648 | Dis Loss (Avg): 1.2471 | Real Acc: 50.00% | Fake Acc: 0.00% Time elapsed: 1.16 min Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2580 | Dis Loss (Avg): 1.2520 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2804 | Dis Loss (Avg): 1.2435 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2923 | Dis Loss (Avg): 1.2422 | Real Acc: 50.00% | Fake Acc: 68.75% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2912 | Dis Loss (Avg): 1.2395 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2654 | Dis Loss (Avg): 1.2346 | Real Acc: 31.25% | Fake Acc: 37.50% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2872 | Dis Loss (Avg): 1.2285 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2587 | Dis Loss (Avg): 1.2220 | Real Acc: 50.00% | Fake Acc: 12.50% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2873 | Dis Loss (Avg): 1.2263 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2957 | Dis Loss (Avg): 1.2220 | Real Acc: 75.00% | Fake Acc: 93.75% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3041 | Dis Loss (Avg): 1.2256 | Real Acc: 25.00% | Fake Acc: 87.50% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3954 | Dis Loss (Avg): 1.2170 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3797 | Dis Loss (Avg): 1.2189 | Real Acc: 31.25% | Fake Acc: 56.25% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3772 | Dis Loss (Avg): 1.2155 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3900 | Dis Loss (Avg): 1.2137 | Real Acc: 62.50% | Fake Acc: 100.00%
[I 2025-01-13 12:39:45,497] Trial 9 finished with value: 1.207851473047716 and parameters: {'latent_dim': 192, 'lr_gen': 0.007949816826374323, 'lr_discr': 0.001811934400052134, 'batch_size': 16, 'num_epochs': 18}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3861 | Dis Loss (Avg): 1.2062 | Real Acc: 50.00% | Fake Acc: 43.75%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3958 | Dis Loss (Avg): 1.2079 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 1.23 min
Total Training Time: 1.23 min
Best hyperparameters: {'latent_dim': 189, 'lr_gen': 0.001221490964348859, 'lr_discr': 0.0003257527184873621, 'batch_size': 49, 'num_epochs': 6}
optuna.visualization.plot_optimization_history(study)
log_dict_gan = train_gan_v1(num_epochs=GAN_EPOCHS, model=modelGAN,
optimizer_gen=optim_gen,
optimizer_discr=optim_discr,
latent_dim=189,
device=device,
train_loader=train_loader,
logging_interval=100,
save_model='gan_mnist_01.pt')
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0073 | Dis Loss (Avg): 0.0069 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0151 | Dis Loss (Avg): 0.0127 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0234 | Dis Loss (Avg): 0.0187 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0324 | Dis Loss (Avg): 0.0242 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0423 | Dis Loss (Avg): 0.0279 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0531 | Dis Loss (Avg): 0.0302 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0651 | Dis Loss (Avg): 0.0320 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0784 | Dis Loss (Avg): 0.0337 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0929 | Dis Loss (Avg): 0.0348 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.1089 | Dis Loss (Avg): 0.0357 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.1264 | Dis Loss (Avg): 0.0364 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.1451 | Dis Loss (Avg): 0.0370 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.1652 | Dis Loss (Avg): 0.0376 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.1865 | Dis Loss (Avg): 0.0379 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.2090 | Dis Loss (Avg): 0.0381 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.2326 | Dis Loss (Avg): 0.0383 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.07 min Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.2572 | Dis Loss (Avg): 0.0384 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.2826 | Dis Loss (Avg): 0.0384 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.3089 | Dis Loss (Avg): 0.0383 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.3359 | Dis Loss (Avg): 0.0384 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.3635 | Dis Loss (Avg): 0.0383 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.3916 | Dis Loss (Avg): 0.0382 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.4202 | Dis Loss (Avg): 0.0380 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.4493 | Dis Loss (Avg): 0.0379 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.4787 | Dis Loss (Avg): 0.0377 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.5085 | Dis Loss (Avg): 0.0376 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.5386 | Dis Loss (Avg): 0.0374 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.5690 | Dis Loss (Avg): 0.0372 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.5996 | Dis Loss (Avg): 0.0370 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.6304 | Dis Loss (Avg): 0.0367 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.6614 | Dis Loss (Avg): 0.0365 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.6925 | Dis Loss (Avg): 0.0363 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.14 min Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.7237 | Dis Loss (Avg): 0.0362 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.7551 | Dis Loss (Avg): 0.0359 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.7866 | Dis Loss (Avg): 0.0357 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.8181 | Dis Loss (Avg): 0.0355 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.8494 | Dis Loss (Avg): 0.0353 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.8809 | Dis Loss (Avg): 0.0351 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.9123 | Dis Loss (Avg): 0.0348 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.9437 | Dis Loss (Avg): 0.0346 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.9749 | Dis Loss (Avg): 0.0345 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.0061 | Dis Loss (Avg): 0.0342 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.0371 | Dis Loss (Avg): 0.0340 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.0682 | Dis Loss (Avg): 0.0338 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.0987 | Dis Loss (Avg): 0.0337 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.1290 | Dis Loss (Avg): 0.0335 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.1590 | Dis Loss (Avg): 0.0333 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.1888 | Dis Loss (Avg): 0.0330 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.21 min Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.2184 | Dis Loss (Avg): 0.0328 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.2474 | Dis Loss (Avg): 0.0331 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.2759 | Dis Loss (Avg): 0.0328 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.3043 | Dis Loss (Avg): 0.0327 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.3308 | Dis Loss (Avg): 0.0327 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.3565 | Dis Loss (Avg): 0.0326 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.3816 | Dis Loss (Avg): 0.0323 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.4054 | Dis Loss (Avg): 0.0324 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.4286 | Dis Loss (Avg): 0.0322 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.4504 | Dis Loss (Avg): 0.0350 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.4715 | Dis Loss (Avg): 0.0348 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.4922 | Dis Loss (Avg): 0.0346 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.5127 | Dis Loss (Avg): 0.0344 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.5328 | Dis Loss (Avg): 0.0343 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.5528 | Dis Loss (Avg): 0.0341 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.5724 | Dis Loss (Avg): 0.0341 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.28 min Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.5917 | Dis Loss (Avg): 0.0339 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6105 | Dis Loss (Avg): 0.0337 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6295 | Dis Loss (Avg): 0.0336 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6476 | Dis Loss (Avg): 0.0337 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6648 | Dis Loss (Avg): 0.0336 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6817 | Dis Loss (Avg): 0.0335 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6985 | Dis Loss (Avg): 0.0334 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7150 | Dis Loss (Avg): 0.0332 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7311 | Dis Loss (Avg): 0.0331 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7470 | Dis Loss (Avg): 0.0330 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7629 | Dis Loss (Avg): 0.0328 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7780 | Dis Loss (Avg): 0.0327 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7932 | Dis Loss (Avg): 0.0326 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.8085 | Dis Loss (Avg): 0.0325 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.8234 | Dis Loss (Avg): 0.0324 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.8377 | Dis Loss (Avg): 0.0323 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.35 min Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.8525 | Dis Loss (Avg): 0.0321 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.8663 | Dis Loss (Avg): 0.0320 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.8804 | Dis Loss (Avg): 0.0319 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.8945 | Dis Loss (Avg): 0.0318 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9081 | Dis Loss (Avg): 0.0317 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9213 | Dis Loss (Avg): 0.0316 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9343 | Dis Loss (Avg): 0.0315 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9471 | Dis Loss (Avg): 0.0315 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9611 | Dis Loss (Avg): 0.0313 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9736 | Dis Loss (Avg): 0.0318 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9850 | Dis Loss (Avg): 0.0317 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9970 | Dis Loss (Avg): 0.0316 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 2.0093 | Dis Loss (Avg): 0.0315 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 2.0199 | Dis Loss (Avg): 0.0315 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 2.0309 | Dis Loss (Avg): 0.0314 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 2.0422 | Dis Loss (Avg): 0.0314 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.42 min Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.0521 | Dis Loss (Avg): 0.0313 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.0629 | Dis Loss (Avg): 0.0313 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.0737 | Dis Loss (Avg): 0.0313 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.0837 | Dis Loss (Avg): 0.0312 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.0930 | Dis Loss (Avg): 0.0336 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1024 | Dis Loss (Avg): 0.0335 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1100 | Dis Loss (Avg): 0.0335 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1160 | Dis Loss (Avg): 0.0341 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1220 | Dis Loss (Avg): 0.0341 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1282 | Dis Loss (Avg): 0.0342 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1337 | Dis Loss (Avg): 0.0342 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1399 | Dis Loss (Avg): 0.0343 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1450 | Dis Loss (Avg): 0.0344 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1490 | Dis Loss (Avg): 0.0407 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1510 | Dis Loss (Avg): 0.0408 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1525 | Dis Loss (Avg): 0.0410 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.50 min Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1549 | Dis Loss (Avg): 0.0412 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1574 | Dis Loss (Avg): 0.0413 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1608 | Dis Loss (Avg): 0.0414 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1633 | Dis Loss (Avg): 0.0417 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1660 | Dis Loss (Avg): 0.0418 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1688 | Dis Loss (Avg): 0.0420 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1721 | Dis Loss (Avg): 0.0421 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1753 | Dis Loss (Avg): 0.0422 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1792 | Dis Loss (Avg): 0.0423 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1828 | Dis Loss (Avg): 0.0423 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1868 | Dis Loss (Avg): 0.0424 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1907 | Dis Loss (Avg): 0.0425 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1944 | Dis Loss (Avg): 0.0426 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1983 | Dis Loss (Avg): 0.0426 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.2033 | Dis Loss (Avg): 0.0426 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.2071 | Dis Loss (Avg): 0.0427 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.56 min Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2109 | Dis Loss (Avg): 0.0428 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2144 | Dis Loss (Avg): 0.0428 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2187 | Dis Loss (Avg): 0.0429 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2228 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2272 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2323 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2368 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2416 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2466 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2522 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2570 | Dis Loss (Avg): 0.0429 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2618 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2663 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2707 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2751 | Dis Loss (Avg): 0.0431 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2794 | Dis Loss (Avg): 0.0431 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.63 min Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.2842 | Dis Loss (Avg): 0.0431 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.2888 | Dis Loss (Avg): 0.0431 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.2926 | Dis Loss (Avg): 0.0431 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.2969 | Dis Loss (Avg): 0.0432 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3009 | Dis Loss (Avg): 0.0432 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3053 | Dis Loss (Avg): 0.0432 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3085 | Dis Loss (Avg): 0.0433 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3119 | Dis Loss (Avg): 0.0433 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3156 | Dis Loss (Avg): 0.0434 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3185 | Dis Loss (Avg): 0.0435 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3210 | Dis Loss (Avg): 0.0436 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3232 | Dis Loss (Avg): 0.0437 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3251 | Dis Loss (Avg): 0.0439 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3270 | Dis Loss (Avg): 0.0440 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3285 | Dis Loss (Avg): 0.0442 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3297 | Dis Loss (Avg): 0.0444 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.70 min Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3310 | Dis Loss (Avg): 0.0445 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3315 | Dis Loss (Avg): 0.0453 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3316 | Dis Loss (Avg): 0.0456 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3312 | Dis Loss (Avg): 0.0458 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3291 | Dis Loss (Avg): 0.0531 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3261 | Dis Loss (Avg): 0.0535 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3227 | Dis Loss (Avg): 0.0539 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3189 | Dis Loss (Avg): 0.0544 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3153 | Dis Loss (Avg): 0.0549 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3114 | Dis Loss (Avg): 0.0554 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3073 | Dis Loss (Avg): 0.0560 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3032 | Dis Loss (Avg): 0.0565 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.2985 | Dis Loss (Avg): 0.0574 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.2930 | Dis Loss (Avg): 0.0581 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.2880 | Dis Loss (Avg): 0.0588 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.2825 | Dis Loss (Avg): 0.0594 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.77 min Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2760 | Dis Loss (Avg): 0.0635 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2692 | Dis Loss (Avg): 0.0643 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2625 | Dis Loss (Avg): 0.0727 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2554 | Dis Loss (Avg): 0.0734 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2479 | Dis Loss (Avg): 0.0743 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2397 | Dis Loss (Avg): 0.0849 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2308 | Dis Loss (Avg): 0.0858 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2222 | Dis Loss (Avg): 0.0868 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2135 | Dis Loss (Avg): 0.0877 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2041 | Dis Loss (Avg): 0.0888 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1949 | Dis Loss (Avg): 0.0899 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1865 | Dis Loss (Avg): 0.0908 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1776 | Dis Loss (Avg): 0.0967 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1685 | Dis Loss (Avg): 0.0978 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1592 | Dis Loss (Avg): 0.0991 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1494 | Dis Loss (Avg): 0.1002 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.84 min Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.1401 | Dis Loss (Avg): 0.1012 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.1306 | Dis Loss (Avg): 0.1023 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.1218 | Dis Loss (Avg): 0.1033 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.1122 | Dis Loss (Avg): 0.1045 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.1042 | Dis Loss (Avg): 0.1053 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0959 | Dis Loss (Avg): 0.1061 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0879 | Dis Loss (Avg): 0.1069 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0799 | Dis Loss (Avg): 0.1077 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0728 | Dis Loss (Avg): 0.1084 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0656 | Dis Loss (Avg): 0.1091 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0589 | Dis Loss (Avg): 0.1097 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0529 | Dis Loss (Avg): 0.1101 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0463 | Dis Loss (Avg): 0.1163 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0398 | Dis Loss (Avg): 0.1168 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0337 | Dis Loss (Avg): 0.1172 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0271 | Dis Loss (Avg): 0.1178 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.91 min Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 2.0207 | Dis Loss (Avg): 0.1208 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 2.0138 | Dis Loss (Avg): 0.1213 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 2.0073 | Dis Loss (Avg): 0.1219 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 2.0009 | Dis Loss (Avg): 0.1225 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9950 | Dis Loss (Avg): 0.1233 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9890 | Dis Loss (Avg): 0.1248 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9818 | Dis Loss (Avg): 0.1255 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9751 | Dis Loss (Avg): 0.1261 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9677 | Dis Loss (Avg): 0.1270 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9607 | Dis Loss (Avg): 0.1278 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9524 | Dis Loss (Avg): 0.1309 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9437 | Dis Loss (Avg): 0.1321 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9348 | Dis Loss (Avg): 0.1334 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9262 | Dis Loss (Avg): 0.1347 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9180 | Dis Loss (Avg): 0.1358 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9098 | Dis Loss (Avg): 0.1370 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.98 min Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.9023 | Dis Loss (Avg): 0.1378 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8950 | Dis Loss (Avg): 0.1387 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8880 | Dis Loss (Avg): 0.1395 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8815 | Dis Loss (Avg): 0.1401 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8754 | Dis Loss (Avg): 0.1407 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8697 | Dis Loss (Avg): 0.1411 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8644 | Dis Loss (Avg): 0.1415 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8593 | Dis Loss (Avg): 0.1425 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8544 | Dis Loss (Avg): 0.1427 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8498 | Dis Loss (Avg): 0.1430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8455 | Dis Loss (Avg): 0.1432 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8416 | Dis Loss (Avg): 0.1433 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8378 | Dis Loss (Avg): 0.1436 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8319 | Dis Loss (Avg): 0.1456 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8252 | Dis Loss (Avg): 0.1529 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8186 | Dis Loss (Avg): 0.1536 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.05 min Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.8121 | Dis Loss (Avg): 0.1544 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.8061 | Dis Loss (Avg): 0.1551 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.8005 | Dis Loss (Avg): 0.1557 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7949 | Dis Loss (Avg): 0.1589 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7893 | Dis Loss (Avg): 0.1594 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7841 | Dis Loss (Avg): 0.1598 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7790 | Dis Loss (Avg): 0.1602 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7723 | Dis Loss (Avg): 0.1617 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7648 | Dis Loss (Avg): 0.1626 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7575 | Dis Loss (Avg): 0.1636 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7506 | Dis Loss (Avg): 0.1646 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7443 | Dis Loss (Avg): 0.1654 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7383 | Dis Loss (Avg): 0.1661 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7329 | Dis Loss (Avg): 0.1666 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7279 | Dis Loss (Avg): 0.1670 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7232 | Dis Loss (Avg): 0.1673 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.11 min Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.7176 | Dis Loss (Avg): 0.1701 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.7121 | Dis Loss (Avg): 0.1705 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.7067 | Dis Loss (Avg): 0.1710 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.7012 | Dis Loss (Avg): 0.1715 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6960 | Dis Loss (Avg): 0.1719 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6888 | Dis Loss (Avg): 0.1767 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6813 | Dis Loss (Avg): 0.1776 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6722 | Dis Loss (Avg): 0.1819 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6629 | Dis Loss (Avg): 0.1839 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6540 | Dis Loss (Avg): 0.1858 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6462 | Dis Loss (Avg): 0.1873 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6389 | Dis Loss (Avg): 0.1885 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6322 | Dis Loss (Avg): 0.1895 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6259 | Dis Loss (Avg): 0.1904 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6202 | Dis Loss (Avg): 0.1910 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6148 | Dis Loss (Avg): 0.1915 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.18 min Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.6098 | Dis Loss (Avg): 0.1919 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.6050 | Dis Loss (Avg): 0.1922 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5995 | Dis Loss (Avg): 0.1952 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5938 | Dis Loss (Avg): 0.1956 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5883 | Dis Loss (Avg): 0.1962 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5827 | Dis Loss (Avg): 0.2055 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5774 | Dis Loss (Avg): 0.2059 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5724 | Dis Loss (Avg): 0.2062 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5677 | Dis Loss (Avg): 0.2065 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5632 | Dis Loss (Avg): 0.2068 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5576 | Dis Loss (Avg): 0.2079 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5518 | Dis Loss (Avg): 0.2084 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5463 | Dis Loss (Avg): 0.2090 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5414 | Dis Loss (Avg): 0.2094 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5369 | Dis Loss (Avg): 0.2098 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5332 | Dis Loss (Avg): 0.2100 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.25 min Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5298 | Dis Loss (Avg): 0.2100 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5270 | Dis Loss (Avg): 0.2098 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5234 | Dis Loss (Avg): 0.2192 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5200 | Dis Loss (Avg): 0.2190 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5170 | Dis Loss (Avg): 0.2188 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5144 | Dis Loss (Avg): 0.2186 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5121 | Dis Loss (Avg): 0.2183 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5104 | Dis Loss (Avg): 0.2178 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5090 | Dis Loss (Avg): 0.2173 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5075 | Dis Loss (Avg): 0.2168 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5063 | Dis Loss (Avg): 0.2163 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5051 | Dis Loss (Avg): 0.2157 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5041 | Dis Loss (Avg): 0.2152 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5031 | Dis Loss (Avg): 0.2146 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5002 | Dis Loss (Avg): 0.2161 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.4961 | Dis Loss (Avg): 0.2160 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.32 min Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4917 | Dis Loss (Avg): 0.2161 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4877 | Dis Loss (Avg): 0.2163 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4838 | Dis Loss (Avg): 0.2165 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4802 | Dis Loss (Avg): 0.2167 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4768 | Dis Loss (Avg): 0.2167 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4725 | Dis Loss (Avg): 0.2247 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4682 | Dis Loss (Avg): 0.2248 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4636 | Dis Loss (Avg): 0.2250 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4594 | Dis Loss (Avg): 0.2252 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4551 | Dis Loss (Avg): 0.2254 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4498 | Dis Loss (Avg): 0.2291 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4440 | Dis Loss (Avg): 0.2295 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4381 | Dis Loss (Avg): 0.2301 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4321 | Dis Loss (Avg): 0.2309 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4264 | Dis Loss (Avg): 0.2316 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4198 | Dis Loss (Avg): 0.2351 | Real Acc: 87.50% | Fake Acc: 100.00% Time elapsed: 1.38 min Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.4131 | Dis Loss (Avg): 0.2360 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.4066 | Dis Loss (Avg): 0.2370 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.4004 | Dis Loss (Avg): 0.2379 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3947 | Dis Loss (Avg): 0.2387 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3896 | Dis Loss (Avg): 0.2392 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3847 | Dis Loss (Avg): 0.2397 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3803 | Dis Loss (Avg): 0.2400 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3752 | Dis Loss (Avg): 0.2421 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3699 | Dis Loss (Avg): 0.2425 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3650 | Dis Loss (Avg): 0.2429 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3603 | Dis Loss (Avg): 0.2433 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3561 | Dis Loss (Avg): 0.2435 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3523 | Dis Loss (Avg): 0.2437 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3475 | Dis Loss (Avg): 0.2448 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3426 | Dis Loss (Avg): 0.2451 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3378 | Dis Loss (Avg): 0.2456 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.45 min Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3333 | Dis Loss (Avg): 0.2459 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3291 | Dis Loss (Avg): 0.2462 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3253 | Dis Loss (Avg): 0.2464 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3218 | Dis Loss (Avg): 0.2464 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3187 | Dis Loss (Avg): 0.2471 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3160 | Dis Loss (Avg): 0.2469 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3136 | Dis Loss (Avg): 0.2467 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3114 | Dis Loss (Avg): 0.2464 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3093 | Dis Loss (Avg): 0.2460 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3075 | Dis Loss (Avg): 0.2456 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3046 | Dis Loss (Avg): 0.2512 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3012 | Dis Loss (Avg): 0.2510 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.2968 | Dis Loss (Avg): 0.2530 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.2920 | Dis Loss (Avg): 0.2534 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.2873 | Dis Loss (Avg): 0.2538 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.2826 | Dis Loss (Avg): 0.2543 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.52 min Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2783 | Dis Loss (Avg): 0.2547 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2741 | Dis Loss (Avg): 0.2551 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2704 | Dis Loss (Avg): 0.2553 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2667 | Dis Loss (Avg): 0.2556 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2633 | Dis Loss (Avg): 0.2557 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2599 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2567 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2537 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2509 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2482 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2450 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2419 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2389 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2359 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2330 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2290 | Dis Loss (Avg): 0.2626 | Real Acc: 87.50% | Fake Acc: 100.00% Time elapsed: 1.59 min Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.2242 | Dis Loss (Avg): 0.2632 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.2185 | Dis Loss (Avg): 0.2670 | Real Acc: 93.75% | Fake Acc: 6.25% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.2126 | Dis Loss (Avg): 0.2681 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.2067 | Dis Loss (Avg): 0.2694 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.2011 | Dis Loss (Avg): 0.2705 | Real Acc: 100.00% | Fake Acc: 6.25% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1958 | Dis Loss (Avg): 0.2716 | Real Acc: 100.00% | Fake Acc: 6.25% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1909 | Dis Loss (Avg): 0.2726 | Real Acc: 100.00% | Fake Acc: 62.50% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1862 | Dis Loss (Avg): 0.2733 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1820 | Dis Loss (Avg): 0.2739 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1782 | Dis Loss (Avg): 0.2744 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1748 | Dis Loss (Avg): 0.2746 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1717 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1689 | Dis Loss (Avg): 0.2749 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1665 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1643 | Dis Loss (Avg): 0.2746 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1613 | Dis Loss (Avg): 0.2747 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.66 min Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1582 | Dis Loss (Avg): 0.2747 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1550 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1522 | Dis Loss (Avg): 0.2749 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1496 | Dis Loss (Avg): 0.2749 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1474 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1456 | Dis Loss (Avg): 0.2746 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1441 | Dis Loss (Avg): 0.2743 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1429 | Dis Loss (Avg): 0.2739 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1420 | Dis Loss (Avg): 0.2734 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1408 | Dis Loss (Avg): 0.2762 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1384 | Dis Loss (Avg): 0.2763 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1356 | Dis Loss (Avg): 0.2762 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1326 | Dis Loss (Avg): 0.2764 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1298 | Dis Loss (Avg): 0.2766 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1273 | Dis Loss (Avg): 0.2766 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1250 | Dis Loss (Avg): 0.2766 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.73 min Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1231 | Dis Loss (Avg): 0.2765 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1215 | Dis Loss (Avg): 0.2763 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1202 | Dis Loss (Avg): 0.2760 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1192 | Dis Loss (Avg): 0.2756 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1181 | Dis Loss (Avg): 0.2752 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1166 | Dis Loss (Avg): 0.2751 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1150 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1137 | Dis Loss (Avg): 0.2745 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1124 | Dis Loss (Avg): 0.2742 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1115 | Dis Loss (Avg): 0.2738 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1098 | Dis Loss (Avg): 0.2742 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1079 | Dis Loss (Avg): 0.2740 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1061 | Dis Loss (Avg): 0.2739 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1031 | Dis Loss (Avg): 0.2753 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.0997 | Dis Loss (Avg): 0.2756 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.0963 | Dis Loss (Avg): 0.2761 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.80 min Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0931 | Dis Loss (Avg): 0.2766 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0902 | Dis Loss (Avg): 0.2770 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0877 | Dis Loss (Avg): 0.2773 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0855 | Dis Loss (Avg): 0.2775 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0837 | Dis Loss (Avg): 0.2775 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0821 | Dis Loss (Avg): 0.2775 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0808 | Dis Loss (Avg): 0.2773 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0799 | Dis Loss (Avg): 0.2770 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0793 | Dis Loss (Avg): 0.2766 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0788 | Dis Loss (Avg): 0.2762 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0770 | Dis Loss (Avg): 0.2770 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0746 | Dis Loss (Avg): 0.2770 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0720 | Dis Loss (Avg): 0.2772 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0691 | Dis Loss (Avg): 0.2777 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0661 | Dis Loss (Avg): 0.2782 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0622 | Dis Loss (Avg): 0.2807 | Real Acc: 87.50% | Fake Acc: 12.50% Time elapsed: 1.87 min Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0580 | Dis Loss (Avg): 0.2817 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0539 | Dis Loss (Avg): 0.2828 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0500 | Dis Loss (Avg): 0.2839 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0466 | Dis Loss (Avg): 0.2848 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0435 | Dis Loss (Avg): 0.2855 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0408 | Dis Loss (Avg): 0.2860 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0386 | Dis Loss (Avg): 0.2863 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0367 | Dis Loss (Avg): 0.2865 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0353 | Dis Loss (Avg): 0.2865 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0343 | Dis Loss (Avg): 0.2864 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0336 | Dis Loss (Avg): 0.2861 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0335 | Dis Loss (Avg): 0.2857 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0324 | Dis Loss (Avg): 0.2918 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0301 | Dis Loss (Avg): 0.2928 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0274 | Dis Loss (Avg): 0.2930 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0248 | Dis Loss (Avg): 0.2933 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.94 min Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0226 | Dis Loss (Avg): 0.2935 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0206 | Dis Loss (Avg): 0.2937 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0191 | Dis Loss (Avg): 0.2937 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0180 | Dis Loss (Avg): 0.2935 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0173 | Dis Loss (Avg): 0.2932 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0169 | Dis Loss (Avg): 0.2928 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0169 | Dis Loss (Avg): 0.2923 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0172 | Dis Loss (Avg): 0.2917 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0180 | Dis Loss (Avg): 0.2909 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0190 | Dis Loss (Avg): 0.2901 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0187 | Dis Loss (Avg): 0.2934 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0180 | Dis Loss (Avg): 0.2928 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0173 | Dis Loss (Avg): 0.2924 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0168 | Dis Loss (Avg): 0.2920 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0167 | Dis Loss (Avg): 0.2915 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0169 | Dis Loss (Avg): 0.2909 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.01 min Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0172 | Dis Loss (Avg): 0.2904 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0177 | Dis Loss (Avg): 0.2897 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0185 | Dis Loss (Avg): 0.2889 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0186 | Dis Loss (Avg): 0.2897 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0186 | Dis Loss (Avg): 0.2891 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0186 | Dis Loss (Avg): 0.2886 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0190 | Dis Loss (Avg): 0.2880 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0190 | Dis Loss (Avg): 0.2875 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0189 | Dis Loss (Avg): 0.2871 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0190 | Dis Loss (Avg): 0.2866 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0193 | Dis Loss (Avg): 0.2861 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0201 | Dis Loss (Avg): 0.2855 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0212 | Dis Loss (Avg): 0.2849 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0226 | Dis Loss (Avg): 0.2841 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0240 | Dis Loss (Avg): 0.2833 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0231 | Dis Loss (Avg): 0.2872 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 2.08 min Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0215 | Dis Loss (Avg): 0.2870 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0189 | Dis Loss (Avg): 0.2903 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0163 | Dis Loss (Avg): 0.2908 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0141 | Dis Loss (Avg): 0.2912 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0124 | Dis Loss (Avg): 0.2915 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0113 | Dis Loss (Avg): 0.2915 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0108 | Dis Loss (Avg): 0.2913 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0107 | Dis Loss (Avg): 0.2910 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0113 | Dis Loss (Avg): 0.2905 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0103 | Dis Loss (Avg): 0.2925 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0088 | Dis Loss (Avg): 0.2923 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0074 | Dis Loss (Avg): 0.2923 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0064 | Dis Loss (Avg): 0.2923 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0060 | Dis Loss (Avg): 0.2920 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0060 | Dis Loss (Avg): 0.2917 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0064 | Dis Loss (Avg): 0.2912 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.15 min Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0074 | Dis Loss (Avg): 0.2906 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0088 | Dis Loss (Avg): 0.2898 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0088 | Dis Loss (Avg): 0.3152 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0084 | Dis Loss (Avg): 0.3144 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0082 | Dis Loss (Avg): 0.3138 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0083 | Dis Loss (Avg): 0.3131 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0088 | Dis Loss (Avg): 0.3123 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0089 | Dis Loss (Avg): 0.3116 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0090 | Dis Loss (Avg): 0.3109 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0081 | Dis Loss (Avg): 0.3121 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0070 | Dis Loss (Avg): 0.3117 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0060 | Dis Loss (Avg): 0.3114 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0041 | Dis Loss (Avg): 0.3117 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0020 | Dis Loss (Avg): 0.3118 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0002 | Dis Loss (Avg): 0.3119 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 0.9982 | Dis Loss (Avg): 0.3125 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 2.22 min Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9964 | Dis Loss (Avg): 0.3125 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9952 | Dis Loss (Avg): 0.3124 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9944 | Dis Loss (Avg): 0.3122 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9942 | Dis Loss (Avg): 0.3117 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9944 | Dis Loss (Avg): 0.3111 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9952 | Dis Loss (Avg): 0.3103 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9963 | Dis Loss (Avg): 0.3094 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9959 | Dis Loss (Avg): 0.3094 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9937 | Dis Loss (Avg): 0.3095 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9911 | Dis Loss (Avg): 0.3097 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9886 | Dis Loss (Avg): 0.3101 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9867 | Dis Loss (Avg): 0.3104 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9853 | Dis Loss (Avg): 0.3105 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9845 | Dis Loss (Avg): 0.3104 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9843 | Dis Loss (Avg): 0.3101 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9846 | Dis Loss (Avg): 0.3095 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.29 min Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9854 | Dis Loss (Avg): 0.3087 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9867 | Dis Loss (Avg): 0.3079 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9864 | Dis Loss (Avg): 0.3115 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9852 | Dis Loss (Avg): 0.3139 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9835 | Dis Loss (Avg): 0.3142 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9821 | Dis Loss (Avg): 0.3142 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9810 | Dis Loss (Avg): 0.3141 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9804 | Dis Loss (Avg): 0.3138 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9804 | Dis Loss (Avg): 0.3133 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9806 | Dis Loss (Avg): 0.3128 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9812 | Dis Loss (Avg): 0.3121 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9809 | Dis Loss (Avg): 0.3166 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9805 | Dis Loss (Avg): 0.3160 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9803 | Dis Loss (Avg): 0.3154 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9805 | Dis Loss (Avg): 0.3148 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9800 | Dis Loss (Avg): 0.3162 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 2.36 min Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9794 | Dis Loss (Avg): 0.3160 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9790 | Dis Loss (Avg): 0.3155 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9790 | Dis Loss (Avg): 0.3149 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9785 | Dis Loss (Avg): 0.3189 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9780 | Dis Loss (Avg): 0.3183 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9778 | Dis Loss (Avg): 0.3177 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9778 | Dis Loss (Avg): 0.3171 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9783 | Dis Loss (Avg): 0.3163 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9792 | Dis Loss (Avg): 0.3155 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9804 | Dis Loss (Avg): 0.3145 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9817 | Dis Loss (Avg): 0.3135 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9832 | Dis Loss (Avg): 0.3124 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9848 | Dis Loss (Avg): 0.3113 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9866 | Dis Loss (Avg): 0.3102 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9888 | Dis Loss (Avg): 0.3090 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9913 | Dis Loss (Avg): 0.3077 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.43 min Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9924 | Dis Loss (Avg): 0.3101 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9927 | Dis Loss (Avg): 0.3092 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9930 | Dis Loss (Avg): 0.3085 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9932 | Dis Loss (Avg): 0.3079 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9935 | Dis Loss (Avg): 0.3073 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9939 | Dis Loss (Avg): 0.3066 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9945 | Dis Loss (Avg): 0.3060 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9937 | Dis Loss (Avg): 0.3069 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9927 | Dis Loss (Avg): 0.3066 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9919 | Dis Loss (Avg): 0.3063 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9915 | Dis Loss (Avg): 0.3060 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9918 | Dis Loss (Avg): 0.3054 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9927 | Dis Loss (Avg): 0.3047 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9942 | Dis Loss (Avg): 0.3038 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9963 | Dis Loss (Avg): 0.3028 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9987 | Dis Loss (Avg): 0.3016 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.49 min Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0013 | Dis Loss (Avg): 0.3004 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0023 | Dis Loss (Avg): 0.3051 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0027 | Dis Loss (Avg): 0.3042 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0032 | Dis Loss (Avg): 0.3035 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0039 | Dis Loss (Avg): 0.3027 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0050 | Dis Loss (Avg): 0.3019 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0064 | Dis Loss (Avg): 0.3010 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0082 | Dis Loss (Avg): 0.3000 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0101 | Dis Loss (Avg): 0.2991 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0122 | Dis Loss (Avg): 0.2980 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0124 | Dis Loss (Avg): 0.2984 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0121 | Dis Loss (Avg): 0.2978 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0118 | Dis Loss (Avg): 0.2973 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0120 | Dis Loss (Avg): 0.2968 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0126 | Dis Loss (Avg): 0.2962 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0137 | Dis Loss (Avg): 0.2954 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.56 min Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0153 | Dis Loss (Avg): 0.2946 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0153 | Dis Loss (Avg): 0.2969 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0150 | Dis Loss (Avg): 0.2963 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0143 | Dis Loss (Avg): 0.2961 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0137 | Dis Loss (Avg): 0.2958 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0136 | Dis Loss (Avg): 0.2954 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0142 | Dis Loss (Avg): 0.2948 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0152 | Dis Loss (Avg): 0.2941 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0167 | Dis Loss (Avg): 0.2932 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0188 | Dis Loss (Avg): 0.2922 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0212 | Dis Loss (Avg): 0.2911 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0240 | Dis Loss (Avg): 0.2899 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0273 | Dis Loss (Avg): 0.2887 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0308 | Dis Loss (Avg): 0.2873 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0347 | Dis Loss (Avg): 0.2860 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0388 | Dis Loss (Avg): 0.2846 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.63 min Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0409 | Dis Loss (Avg): 0.2932 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0423 | Dis Loss (Avg): 0.2920 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0411 | Dis Loss (Avg): 0.2979 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0392 | Dis Loss (Avg): 0.2976 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0371 | Dis Loss (Avg): 0.2977 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0356 | Dis Loss (Avg): 0.2977 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0348 | Dis Loss (Avg): 0.2975 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0345 | Dis Loss (Avg): 0.2972 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0344 | Dis Loss (Avg): 0.2977 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0346 | Dis Loss (Avg): 0.2971 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0352 | Dis Loss (Avg): 0.2964 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0363 | Dis Loss (Avg): 0.2955 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0379 | Dis Loss (Avg): 0.2946 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0392 | Dis Loss (Avg): 0.2947 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0405 | Dis Loss (Avg): 0.2937 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0422 | Dis Loss (Avg): 0.2927 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.70 min Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0441 | Dis Loss (Avg): 0.2917 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0444 | Dis Loss (Avg): 0.2932 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0443 | Dis Loss (Avg): 0.2925 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0442 | Dis Loss (Avg): 0.2919 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0444 | Dis Loss (Avg): 0.2912 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0452 | Dis Loss (Avg): 0.2905 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0464 | Dis Loss (Avg): 0.2896 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0481 | Dis Loss (Avg): 0.2887 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0501 | Dis Loss (Avg): 0.2876 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0526 | Dis Loss (Avg): 0.2865 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0538 | Dis Loss (Avg): 0.2860 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0545 | Dis Loss (Avg): 0.2850 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0554 | Dis Loss (Avg): 0.2842 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0565 | Dis Loss (Avg): 0.2834 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0580 | Dis Loss (Avg): 0.2825 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0599 | Dis Loss (Avg): 0.2815 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.77 min Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0624 | Dis Loss (Avg): 0.2805 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0650 | Dis Loss (Avg): 0.2793 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0681 | Dis Loss (Avg): 0.2781 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0717 | Dis Loss (Avg): 0.2768 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0754 | Dis Loss (Avg): 0.2755 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0795 | Dis Loss (Avg): 0.2741 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0838 | Dis Loss (Avg): 0.2727 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0867 | Dis Loss (Avg): 0.2760 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0891 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0909 | Dis Loss (Avg): 0.2745 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0923 | Dis Loss (Avg): 0.2736 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0936 | Dis Loss (Avg): 0.2727 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0928 | Dis Loss (Avg): 0.2741 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0913 | Dis Loss (Avg): 0.2738 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0898 | Dis Loss (Avg): 0.2737 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0886 | Dis Loss (Avg): 0.2736 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.84 min Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0878 | Dis Loss (Avg): 0.2734 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0875 | Dis Loss (Avg): 0.2731 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0875 | Dis Loss (Avg): 0.2727 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0879 | Dis Loss (Avg): 0.2721 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0881 | Dis Loss (Avg): 0.2719 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0885 | Dis Loss (Avg): 0.2713 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0890 | Dis Loss (Avg): 0.2707 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0899 | Dis Loss (Avg): 0.2700 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0911 | Dis Loss (Avg): 0.2692 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0912 | Dis Loss (Avg): 0.2688 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0908 | Dis Loss (Avg): 0.2683 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0904 | Dis Loss (Avg): 0.2679 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0903 | Dis Loss (Avg): 0.2675 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0906 | Dis Loss (Avg): 0.2670 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0912 | Dis Loss (Avg): 0.2665 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0921 | Dis Loss (Avg): 0.2658 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.91 min Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0918 | Dis Loss (Avg): 0.2716 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0896 | Dis Loss (Avg): 0.2723 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0870 | Dis Loss (Avg): 0.2725 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0846 | Dis Loss (Avg): 0.2727 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0826 | Dis Loss (Avg): 0.2729 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0811 | Dis Loss (Avg): 0.2729 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0802 | Dis Loss (Avg): 0.2728 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0798 | Dis Loss (Avg): 0.2724 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0799 | Dis Loss (Avg): 0.2719 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0803 | Dis Loss (Avg): 0.2713 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0812 | Dis Loss (Avg): 0.2706 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0824 | Dis Loss (Avg): 0.2698 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0839 | Dis Loss (Avg): 0.2689 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0858 | Dis Loss (Avg): 0.2680 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0881 | Dis Loss (Avg): 0.2670 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0906 | Dis Loss (Avg): 0.2659 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.98 min Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0921 | Dis Loss (Avg): 0.2663 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0931 | Dis Loss (Avg): 0.2655 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0923 | Dis Loss (Avg): 0.2661 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0909 | Dis Loss (Avg): 0.2658 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0896 | Dis Loss (Avg): 0.2656 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0887 | Dis Loss (Avg): 0.2655 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0881 | Dis Loss (Avg): 0.2652 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0881 | Dis Loss (Avg): 0.2648 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0885 | Dis Loss (Avg): 0.2643 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0894 | Dis Loss (Avg): 0.2636 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0905 | Dis Loss (Avg): 0.2629 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0921 | Dis Loss (Avg): 0.2621 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0940 | Dis Loss (Avg): 0.2613 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0962 | Dis Loss (Avg): 0.2603 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0987 | Dis Loss (Avg): 0.2594 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.1014 | Dis Loss (Avg): 0.2584 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 3.05 min Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1044 | Dis Loss (Avg): 0.2573 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1056 | Dis Loss (Avg): 0.2593 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1062 | Dis Loss (Avg): 0.2586 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1066 | Dis Loss (Avg): 0.2580 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1070 | Dis Loss (Avg): 0.2575 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1076 | Dis Loss (Avg): 0.2570 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1085 | Dis Loss (Avg): 0.2564 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1097 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1112 | Dis Loss (Avg): 0.2551 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1132 | Dis Loss (Avg): 0.2543 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1152 | Dis Loss (Avg): 0.2535 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1170 | Dis Loss (Avg): 0.2532 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1187 | Dis Loss (Avg): 0.2524 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1206 | Dis Loss (Avg): 0.2516 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1226 | Dis Loss (Avg): 0.2508 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1248 | Dis Loss (Avg): 0.2500 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 3.12 min Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1249 | Dis Loss (Avg): 0.2554 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1245 | Dis Loss (Avg): 0.2550 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1239 | Dis Loss (Avg): 0.2547 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1237 | Dis Loss (Avg): 0.2544 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1238 | Dis Loss (Avg): 0.2540 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1244 | Dis Loss (Avg): 0.2535 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1256 | Dis Loss (Avg): 0.2529 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1273 | Dis Loss (Avg): 0.2522 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1290 | Dis Loss (Avg): 0.2567 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1310 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1327 | Dis Loss (Avg): 0.2549 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1345 | Dis Loss (Avg): 0.2540 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1365 | Dis Loss (Avg): 0.2532 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1387 | Dis Loss (Avg): 0.2523 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1412 | Dis Loss (Avg): 0.2513 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1423 | Dis Loss (Avg): 0.2566 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 3.19 min Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1429 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1435 | Dis Loss (Avg): 0.2551 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1445 | Dis Loss (Avg): 0.2544 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1458 | Dis Loss (Avg): 0.2536 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1475 | Dis Loss (Avg): 0.2527 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1497 | Dis Loss (Avg): 0.2518 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1524 | Dis Loss (Avg): 0.2508 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1552 | Dis Loss (Avg): 0.2497 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1585 | Dis Loss (Avg): 0.2486 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1620 | Dis Loss (Avg): 0.2475 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1658 | Dis Loss (Avg): 0.2463 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1697 | Dis Loss (Avg): 0.2451 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1739 | Dis Loss (Avg): 0.2438 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1770 | Dis Loss (Avg): 0.2452 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1796 | Dis Loss (Avg): 0.2441 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1821 | Dis Loss (Avg): 0.2431 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 3.26 min Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1848 | Dis Loss (Avg): 0.2420 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1876 | Dis Loss (Avg): 0.2410 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1908 | Dis Loss (Avg): 0.2399 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1940 | Dis Loss (Avg): 0.2388 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1973 | Dis Loss (Avg): 0.2378 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1996 | Dis Loss (Avg): 0.2373 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2013 | Dis Loss (Avg): 0.2364 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2029 | Dis Loss (Avg): 0.2355 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2046 | Dis Loss (Avg): 0.2347 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2064 | Dis Loss (Avg): 0.2339 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2083 | Dis Loss (Avg): 0.2331 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2103 | Dis Loss (Avg): 0.2323 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2124 | Dis Loss (Avg): 0.2314 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2147 | Dis Loss (Avg): 0.2306 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2169 | Dis Loss (Avg): 0.2297 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2178 | Dis Loss (Avg): 0.2318 | Real Acc: 87.50% | Fake Acc: 100.00% Time elapsed: 3.33 min Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2178 | Dis Loss (Avg): 0.2313 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2177 | Dis Loss (Avg): 0.2308 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2176 | Dis Loss (Avg): 0.2304 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2176 | Dis Loss (Avg): 0.2301 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2176 | Dis Loss (Avg): 0.2297 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2180 | Dis Loss (Avg): 0.2293 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2186 | Dis Loss (Avg): 0.2288 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2193 | Dis Loss (Avg): 0.2283 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2203 | Dis Loss (Avg): 0.2278 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2212 | Dis Loss (Avg): 0.2273 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2223 | Dis Loss (Avg): 0.2267 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2234 | Dis Loss (Avg): 0.2261 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2247 | Dis Loss (Avg): 0.2256 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2244 | Dis Loss (Avg): 0.2311 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2235 | Dis Loss (Avg): 0.2308 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2224 | Dis Loss (Avg): 0.2307 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 3.41 min Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2213 | Dis Loss (Avg): 0.2306 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2206 | Dis Loss (Avg): 0.2305 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2200 | Dis Loss (Avg): 0.2304 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2196 | Dis Loss (Avg): 0.2301 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2195 | Dis Loss (Avg): 0.2299 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2197 | Dis Loss (Avg): 0.2295 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2201 | Dis Loss (Avg): 0.2291 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2206 | Dis Loss (Avg): 0.2287 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2213 | Dis Loss (Avg): 0.2283 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2205 | Dis Loss (Avg): 0.2282 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2178 | Dis Loss (Avg): 0.2289 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2134 | Dis Loss (Avg): 0.2305 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2085 | Dis Loss (Avg): 0.2317 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2040 | Dis Loss (Avg): 0.2330 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.1999 | Dis Loss (Avg): 0.2342 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.1965 | Dis Loss (Avg): 0.2351 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 3.48 min Total Training Time: 3.48 min
plot_multiple_training_losses(
losses_list=(log_dict_gan['train_discriminator_loss_per_batch'],
log_dict_gan['train_generator_loss_per_batch']),
num_epochs=GAN_EPOCHS,
custom_labels_list=(' -- Discriminator', ' -- Generator')
)
plt.show()
##########################
### VISUALIZATION
##########################
for i in range(0, GAN_EPOCHS, 10):
plt.figure(figsize=(8, 8))
plt.axis('off')
plt.title(f'Generated images at epoch {i}')
plt.imshow(np.transpose(log_dict_gan['images_from_noise_per_epoch'][i], (1, 2, 0)))
plt.show()
plt.figure(figsize=(8, 8))
plt.axis('off')
plt.title(f'Generated images after last epoch')
plt.imshow(np.transpose(log_dict_gan['images_from_noise_per_epoch'][-1], (1, 2, 0)))
plt.show()
It was hard to work on the GAN, as the training takes a long time, so tuning hyperparamaters with epochs that make sense would take hours to complete. Experimenting with Batch Normalization and Deep Convolutional Layers also resulted in poor results, unsure if from using them wrong or having the wrong hyperparameters.
Conclusion ¶
In conclusion, the models are not great at generating new images, mostly as it would take a long time to tune the hyperparameters and the models might not be dense enough for the images.